ArticlePDF Available

The Cause, Effect and Possible Solution to Traffic Congestion on Nigeria Road (A Case Study of Basorun-Akobo Road, Oyo State)

Authors:

Abstract and Figures

Due to increase in population and the attraction of human activities into urban region which in turn leads to the growth of vehicle ownership and use, there is demand for road space which has led to increase in the number of public transport operation. Consequently, the demand for road space is greater than the supply because the rate of provision of transport facilities is less than the rate of growth of vehicle ownership and use which result into traffic congestion. Traffic congestion is the impedance of vehicles imposed on each other due to speed-flow relationship in conditions where the use of transport system approaches capacity. Traffic congestion in Nigeria, taking Basorun-Akobo Road in Ibadan Oyo State as a case study has been analysed using experimental and theoretical approaches. These involve traffic counting and delay survey. In order to carry out effective research work on the case study road, the method adopted were traffic counting and traffic delay survey. The effect of traffic congestion on the study area are Waste of time, Delay movement, Accident, Inability to forecast travel time, Fuel consumption, Road rage and environmental pollution. Possible solutions to traffic congestion on the case study area is to: Dualize the Road, Provide Adequate Parking Space, Construct proper Drainage and Install Traffic Control Devices.
Content may be subject to copyright.
International Journal of Engineering Science Invention
ISSN (Online): 2319 6734, ISSN (Print): 2319 6726
www.ijesi.org ||Volume 4 Issue 9|| September 2015 || PP.06-09
www.ijesi.org 1 | Page
The Cause, Effect and Possible Solution to Traffic Congestion on
Nigeria Road (A Case Study of Basorun-Akobo Road, Oyo State)
S. B. Raheem1, W. A. Olawoore1, D. P. Olagunju1, E. M. Adeokun2
1. Department of Civil Engineering, The Polytechnic, Ibadan. Nigeria.
2Graduating student of the Department of Civil Engineering, The Polytechnic, Ibadan. Nigeria.
ABSTRACT : Due to increase in population and the attraction of human activities into urban region which in
turn leads to the growth of vehicle ownership and use, there is demand for road space which has led to increase
in the number of public transport operation. Consequently, the demand for road space is greater than the
supply because the rate of provision of transport facilities is less than the rate of growth of vehicle ownership
and use which result into traffic congestion. Traffic congestion is the impedance of vehicles imposed on each
other due to speed-flow relationship in conditions where the use of transport system approaches capacity.
Traffic congestion in Nigeria, taking Basorun-Akobo Road in Ibadan Oyo State as a case study has been
analysed using experimental and theoretical approaches. These involve traffic counting and delay survey. In
order to carry out effective research work on the case study road, the method adopted were traffic counting and
traffic delay survey. The effect of traffic congestion on the study area are Waste of time, Delay movement,
Accident, Inability to forecast travel time, Fuel consumption, Road rage and environmental pollution. Possible
solutions to traffic congestion on the case study area is to: Dualize the Road, Provide Adequate Parking Space,
Construct proper Drainage and Install Traffic Control Devices.
I. Introduction
Road became important means of transportation during the reign of Roman Empire. Roman‟s kingdom
modernized, used road effectively compared to the existing usage of road whereby ox, man, chariot, camel, bull
were used as major carrier in road transportation. But the invention of the motor vehicle meant that roads were
no longer meant for pedestrians, chariot and animals. The invention called for improvement of the state of the
roads, which led to increased speeds and danger to road users. This then called for a proper construction and
control of traffic to increase efficiency of the roads in traffic performance.
Demand for highway travel by people continues to grow as population increases, particularly in the metropolitan
area and the construction of new highway capacity to accommodate this growth in travel has not kept pace.
Congestion results when traffic demand approaches or exceeds the available capacity of the road system. While
this is a simple concept, it is not constant because traffic demand may vary significantly depending on the
season of the year, the day of the week and even time of the day. Nevertheless, the overall effect of congestion
on Nigeria Highway cannot be accurately quantify due to uncounted and diversified effects it has on the national
capacity but its significant effect can be seen on service delivery, good delivery, pollution, discomfort, excessive
fuel consumption, excessive vehicle maintenance all these accounted for economic loss.
The problem of traffic congestion has reached an alarming rate in Nigeria especially in many cities. However,
there is a general feeling that the traffic flow should be free to allow free movement of goods and service but
reverse is the case own to the overcrowding of the road users (vehicles) on the road and this manifest through a
number of problems which include:
Delay: this is the time lost while traffic flow is impeded
Inability to forecast travel time accurately, leading to drivers allocating more time to travel and less
time on productive activities.
Wastage of fuel and increasing air pollution: releasing of CO (carbon monoxide) and other pollutant by
congested car account for environmental and health problem which range from nose running to global
warming.
Wear and tear on vehicles as a result of idling in traffic and frequent acceleration and braking, leading
to more frequent repairs and replacements.
Stressed and frustration: discomfort that comes from stop and go condition of the traffic congestion
cause discomfort and weakness of passengers and motorists.More so, congestion increases the tendency
of collision which may lead to series of injuries and fatality.
Perishing of some agricultural produce: Many agricultural products such as tomatoes, mangoes etc.
The Cause, Effect And Possible Solution…
www.ijesi.org 2 | Page
The overall effects of traffic congestion can be broadly be categorized under; Health effects, Environmental
effects, and Economy effect. Nigeria vision of becoming one the first 20thstrongest economy in the world cannot
be achieved unless the spate of traffic congestions on our road is nullified. This is due to the facts that
ineffective transportation system dwarfed the economy. Jerome D. &et. al (2005), noticed major challenge in
road transportation as congestion which result to immeasurable impact on country‟s economy, he suggested that,
congested free road will enhance efficient mobility of goods and services and then make road transportation as
most preferred transportation mode.
Filani and Olateru (1976) said that traffic congestion exists in Ibadan and that the situation is growing worse
each day in spite of some adhere step being taken to alleviate the situation. He noted that traffic jams are more
attributable to bad traffic management and for traffic education of the road users. On the basis of this analysis,
he suggested ways of improving traffic management and educating the road users on the use of urban highway
for mutual convenience. Some of this suggestion includes setting up of mobile courts and re introduction of
the municipal bus transport service of which it operation would reduce number of mini buses and taxi plying the
existing with.It must however be noted that the mobile court was recently introduced in Ibadan but the frequent
strive action of the public transportation union partly face it to park up. The attempt and the willingness of the
researcher to cover all congested roads in the country in executing this research work would be tedious, time
wasting owing to distance security and the complexity of the Nigerian roads. Thus,Basorun-Akobo road will be
used by the researcher out of the numerous roads in Nigeria. And also, there are numerous factors which cause
congestion (as described by US department of Highway) but this research work focuses on one Physical
Bottlenecks‟ (Capacity). Basorun-akobo road has 10 prominent junctions (Basorun-oja, Yanbule, General
gas,Oolopo-meji, Fisco, Baptist, Iyana-olopa,Omolayo, Oje, and Akala) out of which 3 were subjected to the
study.
II. Methods
Prior to the actual work, preliminary investigation was carried out along the case study road to
determine the best approach to be used in dealing with the research problems. The whole road was surveyed by
three men and it was observed that noticeable congestions was within the APCON in Basorun to OlopoMeji in
Akobo, all fall within 2 local government. Researcher then restricted investigation to the area described above,
which consists of four noticeable junctions (BaosrunOja, Yanbule, General Gas and Olopo-meji)- all covers
1.55km. Based on the nature of the research work, the researcher employed scope that consists an experimental
investigation and theoretical study. The experimental investigation involved traffic counting and delay
surveying. In this section, researcher examined visible causes of congestion on the case road, studying traffic
stream which involved traffic direction peak period and other factors that are physically affecting the easy flow
of traffic along the study area. Theoretical aspect of the research work was primarily based on the analysis of the
data gathered through traffic counting and delay survey and translation of this data in relation to the level of
service.
Fig. 1: Map of Nigeria; Showing Location of the study area (Ibadan, Oyo State)
The Cause, Effect And Possible Solution…
www.ijesi.org 3 | Page
2.1 Traffic Counting
There are various technique and methods used in traffic survey (traffic counting) but for the purpose of this
research work, manual counting was adopted. Preliminary investigation has incited researchers and thus carried
out traffic counting at general gas.
Manual counting: in this case, an observer will be assigned to a particular station (General gas) along the case
road, record on a sensor sheet the easy passage of traffic according to the classification. The counting (number
of vehicles) was based assessed per hour, all heavy duty vehicles were converted to passenger car by
multiplying them with factor of three (3).
Data sought out at the end of the counting were analyzed using appropriate tools. Manual counting is usually
carried out for a day or week because it is impossible to manually carry out the counting for a longer period. For
the purpose of this research work, counting was carried out for a week between 7am to 8am daily.
The following data were generated:
Traffic density: This is the number of vehicle in a given length of road at an instantaneous time. It is measured
in vehicles per kilometers.
Traffic flow: This is the quantity of vehicles in space measured in an interval of time. Measured in vehicle per
hour
Speed: This is the distance travelled by vehicle during a unit time. i.e. rate of movement of traffic. It is
measured in kilometer per hour or mile per hour. Speed was determined by sampling a set of vehicles, noting
their travel time (with the use of stop watch) on a predetermined length of road along the case road.
2.2 Delay Survey
Delay reduces the running speed below what might be considered an acceptable speed. In carrying out of delay
study, registration number method was used whereby the Registration Number of vehicles passing the surveys
were noted by observers. Intermediate observers were used to trace the path of vehicles within the surveys area.
Journey times were obtained by recording the time at which the vehicles pass the survey system (scene).
Base on the result of the preliminary investigation and traffic counting data obtained, delay surveys were carried
out in the morning and in the afternoon.
Three scenes were formed along the case road; one between APCON to BasorunOja (280m), second is between
Yanbule to General Gas (250m) and the third is between General Gas to OlopoMeji junction (310m).
III. Results and Analysis
The data here shows various results obtained on difference practical test carried out in the field (road). These
include traffic volume (AHV), delay survey and Level of service (LOS).
Traffic Volume:
The Cause, Effect And Possible Solution…
www.ijesi.org 4 | Page
3.1 Level of Service
Vehicles were counted per lane to determine the operational situation of each lane of the case study road. Data
obtained were compared with the Level of Service A as best highway condition and with service C as fairly
condition.
Table 1: Level of Service
Time
Lane Description
No. Of passenger car per mile
(1.6km) per lane
Level of Service
7am-8am
Akobo Basorun
118
F
Basorun Akobo
72
F
8am 9am
Akobo Basorun
101
F
Basorun Akobo
48
E
9am -10am
Akobo Basorun
109
F
Basorun Akobo
47
E
10am- 11am
Akobo Basorun
79
F
Basorun Akobo
45
E
11am 12pm
Akobo Basorun
41
E
Basorun Akobo
47
E
12pm-1pm
Akobo Basorun
42
E
Basorun Akobo
33
E
1pm-2pm
Akobo Basorun
42
E
Basorun Akobo
38
E
2pm-3pm
Akobo Basorun
41
E
Basorun Akobo
72
F
3pm-4pm
Akobo Basorun
48
E
Basorun Akobo
51
F
4pm -5pm
Akobo Basorun
69
F
Basorun Akobo
111
F
5pm-6pm
Akobo Basorun
44
E
Basorun Akobo
111
F
Interpretation: During the evening and morning peak periods, and during evening, morning low period when
traffic was controlled, the data obtained for level of service is presented in above. During peak periods (7:30am
9am & 4pm 5pm), the traffic on this road is operated under level of service F. Operation of the road is found
under level of service E only in the mid-day
The Cause, Effect And Possible Solution…
www.ijesi.org 5 | Page
3.2 Discussion of Results
The most noticeable congestion problem along the study road was found during the peak hour (between 7:30am
and 8:30am while coming from Akobo towards Basoruun and between 3:45pm and 4:30pm while going towards
Akobo from Basorun). This is because of the concentration of individual workers‟ vehicles (which covers 62%
of all vehicles plying the road) that leave for work during morning and return home during afternoon. Sunday
traffic pattern was completely different from other traffic pattern (Appendix 8 & 9). Peak period was found
between 8am -9am while afternoon peak period was found between 1pm 2pm). This was a result of significant
number of churches situated at Basorun. The road would have completely be free from congestion during
moderate traffic-flow period, but due to some defect (Portholes), offline manoeuvre, driver behaviour and lack
of crossing facilities along the road; congestion usually be at play. Average delay time between Basorun to
Olopo-meji 6minutes and ideal time is just 15seconds. Ideal times is the times taking for a vehicle travelling on
56km/h to pass through the length of road survey (900m) under prevailing condition. Vehicle form a long queue
when traffic contacts small interference even during the low period of traffic as the traffic is being operating
under level of service F in most time.
IV. Conclusion and Recommendation
4.1 Conclusion
The conclusion for this research work is based on the results obtained in the experiments as follows.
The case study road operates under level of service F (in most time) which is generally unacceptable and level of
service E during low traffic period.
Defects on the road also constitute significantly to congestion
The case study road lack parking bay and thus parking vehicles inhibit the free-flow of traffic
Average delay on case road is 6minute which is unacceptable as ideal time on that road course is just 15seconds
The pick hourly traffic is found between 7:45am and 8:30am and 4:00pm 4:45pm for morning and evening peak
period respectively.
Private cars are the most vehicular type that ply the road
Most congested section of the road was found between Yanbule and General Gas.
Morning congestion (coming) exceeded afternoon congestion (going)
Factors such as bad road (pothole) responsible for congestion (especially between general gas and Olopomeji
junction
4.2 Recommendation
It was found that Basorun Akobo road is characterized with daily traffic congestion; thus, followings were
recommended based on findings:
Proper attention and management should be given to Basorun-Akobo Road due to the importance of the
road
The road should be dualized to enhance free-flow of traffic: Scholars in highway engineering (such as John
J. Fruin) believed that level of service A is unrealistic in urban area roads, however, urban area typically
adopts standard varying between C and D and E sometimes depend on the area, size and characteristics of
traffic, any road operate beyond this should be dualized.
Channelizing devices or traffic control devices should be installed especially as the junctions to aid flow as
traffic wardens judgement is inaccurate.
Parking bay or lot should be provided along the road
The road should not be encroached with shops (market).
REFERENCES
[1] Adewumi Rowland (2009): Nigeria Roads: Roadmap to progress “http://www.newnigerian.blogspot.com
[2] Filani, M.O. and Olateru - Olagbegi S.A. (1976): Urban Transportation in relation to land use in Nigeria. Paper presented at
NISER Conference on the land policy in Nigeria, Ibadan.
[3] Glen Weisbrod (2003), Measuring the Economic Costs of Urban Traffic Congestion to Business, transportation research board
journal, Vo. 3. pg2
[4] Highway capacity manual, 2000. Compile from exhibit 24-2 pg 24
[5] Jerome D. et. al (2005). Human geography: Landscapes of Human activities, eight edition. McGraw-Hill 1221 avenue, New
York, America Ppg. 324
[6] P. N. NDOKE (2011) Traffic Control by Traffic Wardens in Minna, Department of Civil Engineering, Federal University of
Technology, Minna, Nigeria, “mailto:jemeandoke@yahoo.com
[7] Transportation Research Board, Special Report 2009: Highway Capacity Manual, National Research Council, Washington D.C.,
Chapter 9, p. 4-6, 1985.
[8] Us Department of Transportation (2005) : Traffic Congestion and Reliability:
Trends and Advanced Strategies for Congestion Mitigation
[9] World Bank economy report (2014) “http://www.worldbank.com/economy/nigeria/ph.p”
[10] Hincol (2012) from www.hincol.com
... A study by Wu, Pei, and Gao [3] showed that traffic demand is made up of the population served by a transport system, the average number of trips, and the proportion of such trips served by available means of transport-rail, bus, taxi, or car-in their formulation of a model to describe the supplydemand ratio in an urban system. Traffic congestion, though, has been a persistent hindrance to the success of such systems since, as traffic density increases, traffic flow decreases [4][5]. This problem was described by Downs [6] as the triple convergence problem-demand will always grow to meet supply. ...
... Traffic congestion is defined as the obstruction of vehicular movement resulting from limited road capacity [8]. In more straightforward terms, gridlock ensues when the demand for traffic approaches or exceeds the road network's capacity, as indicated by Vencataya [9,5]. The field of transportation constitutes a market comprising both transport service providers and the users of these services. ...
Article
Full-text available
One of the greatest challenges most developing countries are facing is the need to improve the transportation systems in their cities. In achieving this, emphasis has been put on the role of infrastructure development to improve the mobility of residents and reduce the negative externalities, such as traffic congestion, associated with most cities in both developed and developing countries. Hence, this study evaluates the impact traffic volume, in relation to available infrastructure capacity, has on traffic congestion, within the dynamics of a rapidly developing urban environment. Though there appears to be a consistent state of slow-moving traffic on two of the roads studied, traffic congestion is not critical, which suggests that available infrastructure is being appropriately utilized. This study found a statistically significant negative relationship between capacity utilization and traffic congestion levels.
... Nonetheless, the transportation system and management in Oyo State have witnessed similar challenges, just like other States in Nigeria. Traffic in public systems will not only affect motorists and public transport users but also negatively affect economic efficiency (Raheem et al, 2015). Nevertheless, successive governments in Oyo State have been changing the face, modalities and model of the transportation system in the state to reduce traffic, ensure the free flow of human and material resources as well as improved economic efficiency (Akinyemi, 2012). ...
Article
Full-text available
The study focused on the challenges facing public traffic service delivery and management of road transport in Oyo State. The study adopted a survey research design by administering a questionnaire to sampled respondents. The study population comprised the entire staff of the Oyo State Ministry of Public Works and Transport, Oyo State Road Transport Management Authority and National Union of Road Transportation Workers (NURTW) officers. The study adopted the Taro Yamane formula as a sampling technique to deduce a 279 sample size for the study. Data were collected through primary and secondary sources. Questionnaires were deployed to purposively selected sampled respondents to collect primary data, completed by interviews with selected respondents, and published articles in journals, textbooks, and conference papers, among others, were secondary data sources. Data collected were analysed using descriptive statistics of frequency distribution, percentage and mean value. The study revealed that inadequate manpower, non-compliance with driving ethics, poor road network and indiscriminate parking are challenges facing traffic service delivery and management of road transportation. In conclusion, it was recommended that the government should engage in transportation technology management and continuous public enlightenment.
... Due to structural, human, and environmental causes, many urban major roads in Nigeria are congested in traffic especially, early in the morning and during closing hours in the evening. The traffic space in Nigerian cities context provides an avenue for many downtrodden Nigerians involved in the street economy to engage motorists in traffic space for transactions of goods (and now with the emergence of unsolicited vehicle cleaning) and services (Raheem et al., 2015;Jolaoso and Onalaja, 2021). These unsolicited vehicular windscreen-cleaning services by adolescents on the street are initiated and conducted in exchange for gracious gratification. ...
... Also, Lagos, Port Harcourt and Abuja were identified as cities most affected by traffic congestion. Raheem et al. (2015) carried out a study on the cause, effect and possible solution to traffic congestion on Nigeria road. The authors argue that due to increase in population and the attraction of human activities into urban region which in turn leads to the growth of vehicle ownership and use, there is demand for road space which has led to increase in the number of public transport operation. ...
Article
Full-text available
Background: The issue of traffic congestion has becoming a thing of serious concern in modern cities including Owerri metropolis that needs to be addressed. Objective: The goal of this study was to assess the influence of Ozisa FM traffic programmes in promoting responsible road use among residents of Owerri metropolis of Imo state. Method: Descriptive survey research design was adopted with a population of 983,000 from which 384 was derived as the sample size using Wimmer and Dominick's online sample size calculator. The multistage and purposive sampling techniques were employed in the study. Questionnaire was used as the instrument for data gathering, and the data was analysed with simple percentages and mean analysis. Results: Findings revealed that at an average of 59.2% the respondents are moderately exposed to Ozisa Radio's FM traffic programme. Results also showed that at an average of 43.9% of the respondents confirmed that the Ozisa radio FM traffic programmes have influenced Owerri Metropolis residents towards curbing traffic congestion to a moderate extent. Conclusion: Thus, we conclude that Ozisa FM radio traffic programmes have influenced Owerri metropolis residents to a moderate extent. Unique contribution: This study has been able to extend the literature on the role of radio programme in addressing societal issues, especially issue as it concerns road traffic which is one of the disturbing issues facing urban cities. Key Recommendation: There is a need for improved effort on the part of Ozisa FM, and then there is a need for engaging those in authority through the instrumentality of the media to carry out sensitisation on the need to help curb the issue of traffic congestion in the Owerri metropolis.
... Any economically busy and thriving city will rarely be free of traffic congestion (Yildirim, 2001). There are two major competing opinions on traffic congestion [13]. The first point of view is that it may be seen as a sign of economic progress as well as an urban way of life. ...
Article
Road traffic congestion is a significant issue impacting productivity and increasing transportation costs globally, with severe implications in Lagos State. This study aimed to identify critical factors contributing to congestion, focusing on data collected from 353 employees across various haulage companies in Lagos. Data were primarily gathered through questionnaires and personal interviews, processed using descriptive statistics and factor analysis. The factor analysis revealed key factors responsible for congestion. Specifically, poor road conditions were acknowledged by a substantial 90% of respondents as a primary factor exacerbating traffic congestion. Similarly, a significant 92.3% of participants identified the rapid increase in urban population as a crucial contributor. Contrary to expectations, the aging vehicle fleet was not considered a major factor, with 87.7% of respondents dismissing its impact. However, traffic flow timing, particularly during peak periods, was highlighted as a significant issue. Behavioral factors also play a role, with 78.1% of respondents citing poor driving habits as a major cause of congestion. Additionally, the need for better road maintenance was emphasized by 90.6% of the participants, suggesting infrastructural improvements as a key area for intervention. The study's findings underscore the multifaceted nature of traffic congestion in Lagos, influenced by both infrastructural shortcomings and behavioral issues. The study concludes that significant factors such as peak periods, a growing urban population, poor road conditions, and inadequate transport policies are pivotal in driving congestion in Lagos State. To address these challenges, it is recommended that freight companies optimize their vehicle scheduling and delivery timings to mitigate the impact of simultaneous heavy vehicle traffic. This strategic approach aims to enhance traffic management and contribute to more sustainable urban mobility solutions in Lagos State.
... Traffic congestion problem happens due to several factors like slow drive due to traffic delay (Timalsena, Marsani, and Tiwari, 2017), crowd at the tourist places (Iyer, Boxer and Subramanian, 2018) , Natural disasters (Hara and Kuwahara, 2015) , Improper Planning (Lal et al., 2016) , Construction work on road (Hyari, El-Mashaleh and Rababeh, 2015) and unplanned events (Humphreys and Pyun, 2018). Some of the phenomenon related to traffic congestion are stress (Vencataya et al., 2018), speeding (Chang et al., 2019), death (Organization, 2015), frustration (Hickman et al., 2018), time wastage (Raheem et al., 2015), pollution (Li and Huang, 2019) and low public satisfaction (Nguyen, 2019). Travel behavior has a direct impact on these factors, and it is one of the most important theories used to cater to the problem of traffic congestion and management. ...
Article
Full-text available
Traffic Congestion is becoming a worldwide problem, it is necessary to find out the solution. It is necessary to find Traffic Congestion factors for reducing the level of the congestion. Addressing Traffic Congestion is a challenging and time-demanding task that requires a large research study to ensure successful observing situations. Our systematic approach uses modeling on travel situations for the purpose of analyzing the state of traffic and offers an immediate solution to travelers and traffic administrators. This is possible by deploying to measure the level of congestion at a particular time and its magnitude. By having prior knowledge of traffic congestion, the traveler can take a decision. The significance of modeling helps in saving cost, time and money. Therefore, it is necessary to develop foolproof solutions by creating new modeling ideas or combining existing modeling techniques to address the issues of road safety support, human life safety support, and reducing traffic congestion. This paper discusses about modeling the level of traffic congestion and gives the best solution.
... The concept of congestion has been define from a variety of perspective by researchers. The most common definition of congestion is a situation when the demand for traffic nears or surpasses the capacity of the road network (Raheem et al., 2020). While Falcocchio & Levinson (2015) and (Rahman, Najaf, Fields, & Thill, 2021) defined traffic congestion as roadway obstruction caused by overcrowding of vehicles due to inadequate supply of road infrastructure, excessive travel demand, or poor flow of transportation modes. ...
Article
Full-text available
In Kota Kinabalu, Sabah, traffic congestion is a major issue, particularly on the Tuaran Bypass and Sulaman KKIP road networks. The purpose of this study was to identify the causes of traffic congestion and propose solutions to the problem. A survey distributed online to commuters between January 10, 2023 and February 8, 2023 collected the data. SPSS 28 was used to analyse a total of 1,136 complete responses. Poor road conditions, inadequate lanes, and ineffective traffic management were determined to be the primary contributors, with mean scores of 4.81, 4.67, and 4.51, respectively. Other significant factors include bottlenecks/poor geometry (4.56 mean value), a poor signalling system (4.18 mean value), new development projects (4.20 mean value), and inclement weather (4.20 mean value) (mean value of 4.07). The study also identified potential solutions, with road widening being the most popular (mean value of 4.70 and 81.6% of respondents strongly agreeing). Significant support was also provided for nighttime road improvements and construction (mean value 4.45), improved road safety (mean value 4.43), and public transit quality (4.29). Carpooling, on the other hand, received less support, with a mean score of 3.47, indicating the need to investigate additional alternatives. Overall, the study indicates that physical infrastructure solutions, construction practise improvements, safety enhancements, and public transportation can effectively reduce traffic congestion.
... The study recommends that traffic planning and policy should be given attention in other to improve the quality of community life. Likewise, Raheem , Olawoore, Olagunju, Adeokun (2015), studied the Cause, Effect and Possible Solution to Traffic Congestion on Nigeria Road (A Case Study of Basorun-Akobo Road, Oyo State). The study emphasis that increases population allows for increase human activities which increases demand for transport space. ...
Article
Full-text available
Traffic congestion is responsible for increased urban pollution in urban centers in developing countries. The condition of Abuja traffic congestion is no diverse. The study examines geographic analysis of traffic congestion in FCT-Abuja Nigeria. Efforts were made in this study to accomplish the objectives which are to map traffic congestion areas along selected corridors of Federal Capital Territory (FCT) Abuja using Geographical Information System (GIS) Techniques, Determine the major causes of traffic congestion in the study area and examine the solutions to traffic congestion in the study area. The study adopted random sampling techniques in the administration of well-structured 384 questionnaires to help achieve objective II and III. The data that was collected were analyzed using descriptive statistics. The descriptive analysis that was used includes means, percentage, standard deviation and structured Likert scale. The study revealed that the three major road corridors to the FCT are Abuja- keffi expressway Kubwa –Zuba express and Gwagwalada-Lokoja expressway. The study shows that too many taxis with mean score of 4.14 are the major cause of traffic congestion. While, maintenance of road is the major solution to traffic congestion in the study area with mean score of 4.19. This study recommends the provision of railway service and speedy completion of Apo-Karshi road.
Article
Full-text available
Traffic congestion is a formidable problem that is affecting the routine lives of people worldwide. A number of traffic control schemes have been introduced but still the problem is same. In this paper, we perform experiments with various Machine Short Term Memory Model (LiSTM and Bi-LiSTM) to predict the traffic congestion. Deep Learning based integrated method stacked autoencoder + RNN is proposed to detect traffic congestion. The proposed method directly extracts fine grained set of features and eliminates the need of performing manual process of handcrafted features. Furthermore,in order to reduce the problem of over fitting during training of the model and to improve theperformance on validation set, dropout technique, batch normalization and Rectified Linear Units (ReLU) activationfunction are being used. The result indicates that the proposed method can not only achievegreat improvement but also is superior to many models (ML and DL). Finally It is found that proposed model (Stack Encoder + Bi-LiSTM) detects traffic congestion with accuracy of 99.9%." ________________________________________________________________________________
Research
The huge increase of vehicles on our highways with increased numbers of heavy goods vehicles in recent years, has led to traffic congestion and higher delays and also could lead to a higher rate of traffic accidents. To overcome such situations and to improve the efficiency and safety of the highways, a good understanding of the traffic operations on those highways is needed. This paper presents a newly developed model to compute vehicles' numbers and classify them and also to determine their speeds based on video cameras. For the purpose of this study, the new model has been built from scratch by using the PYTHON programing language. Several sets of field traffic data taken from different highway sites in Basra City were collected and analyzed. The collected data was used in the development and verification processes of the developed model. The experimental results are promising and showed that the proposed model can compute vehicles, classify them, and determine their speeds, with an average error not exceeding 3%.
Article
Full-text available
ABSTRACT This paper provides key findings from NCHRP Study 2-21, which examined how urban traffic congestion imposes economic costs within metropolitan areas. Specifically, the study applied data from Chicago and Philadelphia to examine how various producers of economic goods and services are sensitive to congestion, through its impacts on business costs, productivity and output levels. The data analysis showed,that sensitivity to traffic congestion varies by industry sector, and is attributable to differences in each industry sector’s mix of required inputs and hence its reliance on access to skilled labor, access to specialized inputs and access to a large, transportation-based market area. Statistical analysis models were applied with the local data to demonstrate how congestion effectively shrinks business market areas and reduces the “agglomeration economies” of businesses operating in large urban areas, thus raising production costs. Overall, this research illustrates how it is possible to estimate the economic implications of congestion, an approach that may in the future be applied for benefit-cost analysis of urban congestion reduction strategies or for development,of congestion pricing strategies. The analysis also shows how congestion reduction strategies can induce additional traffic as a result of economic,benefits. OVERVIEW While it is clear that increasing traffic congestion does impose costs upon travelers and affect
Article
Full-text available
Traffic control by traffic wardens on three at-grade interactions in Minna, Northern Nigeria has been analysed. During the morning peak periods, it was observed that with traffic warden control, none of the approaches of the intersections operated beyond level of service E. However, when the wardens did not control traffic, the approaches operated at level of service, F, which has been shown in studies to be unacceptable to most drivers. Taking other factors like stability of electricity supply, motorists’ behaviour and society’s acceptance of innovations into consideration, it has been concluded that for now, there is no alternative to the traffic warden in traffic control in developing cities.
Nigeria Roads: Roadmap to progress
  • Adewumi Rowland
Adewumi Rowland (2009): Nigeria Roads: Roadmap to progress " http://www.newnigerian.blogspot.com [2]
Urban Transportation in relation to land use in Nigeria
  • M O Filani
  • S A Olateru -Olagbegi
Filani, M.O. and Olateru -Olagbegi S.A. (1976): Urban Transportation in relation to land use in Nigeria. Paper presented at NISER Conference on the land policy in Nigeria, Ibadan.
mailto:jemeandoke@yahoo.com [7] Transportation Research Board, Special Report 2009: Highway Capacity Manual, National Research Council Traffic Congestion and Reliability: Trends and Advanced Strategies for Congestion Mitigation
  • P N Ndoke
P. N. NDOKE (2011) Traffic Control by Traffic Wardens in Minna, Department of Civil Engineering, Federal University of Technology, Minna, Nigeria, " mailto:jemeandoke@yahoo.com [7] Transportation Research Board, Special Report 2009: Highway Capacity Manual, National Research Council, Washington D.C., Chapter 9, p. 4-6, 1985. [8] Us Department of Transportation (2005) : Traffic Congestion and Reliability: Trends and Advanced Strategies for Congestion Mitigation [9] World Bank economy report (2014) " http://www.worldbank.com/economy/nigeria/ph.p " [10] Hincol (2012) from www.hincol.com
Human geography: Landscapes of Human activities, eight edition. McGraw-Hill 1221 avenue Traffic Control by Traffic Wardens in Minna mailto:jemeandoke@yahoo.com [7
  • D Jerome
Jerome D. et. al (2005). Human geography: Landscapes of Human activities, eight edition. McGraw-Hill 1221 avenue, New York, America Ppg. 324 [6] P. N. NDOKE (2011) Traffic Control by Traffic Wardens in Minna, Department of Civil Engineering, Federal University of Technology, Minna, Nigeria, " mailto:jemeandoke@yahoo.com [7] Transportation Research Board, Special Report 2009: Highway Capacity Manual, National Research Council, Washington D.C., Chapter 9, p. 4-6, 1985. [8] Us Department of Transportation (2005) : Traffic Congestion and Reliability: Trends and Advanced Strategies for Congestion Mitigation [9] World Bank economy report (2014) " http://www.worldbank.com/economy/nigeria/ph.p " [10] Hincol (2012) from www.hincol.com
Highway Capacity Manual
Transportation Research Board, Special Report 2009: Highway Capacity Manual, National Research Council, Washington D.C., Chapter 9, p. 4-6, 1985.