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In developing countries, people prefer public transport more often due to its less and affordable cost. In populated countries, due to insufficient public transport system, there was lack of attention to the maintenance of the vehicles. The chaos is caused due to the volition of the rules by the consumers and lack of maintenance of the vehicles due to more demand of this kind of transport system. This paper enclosed a survey on public transport management system which focuses the death and accident rate due to the improper maintenance and volition of rules. And also, provides solution for the encountered problems. Keywords: Public transport, survey, issues, accidents.
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6 III March 2018
http://doi.org/10.22214/ijraset.2018.3137
International Journal for Research in Applied Science & Engineering Technology (IJRASET)
ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 6.887
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A Survey on Issues in Public Transport
Management System
Senthil Ganesh r1, Mohanasundar r2, Prithvi Raj k3, Vijayagopal N4, Vinoth Kumar k5
1Assistant Professor, Electronics And Communication Engineering, Info Institute Of Engineering
2, 3, 4, 5Pursuing Electronics And Communication Engineering, Info Institute Of Engineering
Abstract: In developing countries, people prefer public transport more often due to its less and affordable cost. In populated
countries, due to insufficient public transport system, there was lack of attention to the maintenance of the vehicles. The chaos is
caused due to the volition of the rules by the consumers and lack of maintenance of the vehicles due to more demand of this kind
of transport system. This paper enclosed a survey on public transport management system which focuses the death and accident
rate due to the improper maintenance and volition of rules. And also, provides solution for the encountered problems.
Keywords: Public transport, survey, issues, accidents.
I. INTRODUCTION
Public transport is the most commonly used way of transport all over the world, especially in densely populated and developing
countries because of its cheap cost. This paper mainly concentrates on some objectives which are mentioned below
A. The accidents caused by the public transport due to the over load of the vehicles.
B. Time consumed for the identification of the people involved in the accidents.
C. Loss due to the rules breaking or inappropriate activities.
D. Poor performance of public transport system.
Road injuries are predictable and preventable. There were few techniques that have been already used for reducing death or injuries
caused by the transport system. The evidences for effective interventions are in depth, as well as implementation of legislation on
speed management and avoiding alcohol consumption, promotion of seatbelt and helmet utilization and safer style and use of roads
and vehicles. Although there are so many inventions for different sectors to prevent damage the inventions to prevent the damage in
the transport system are low so, this paper surveys on all the prevailing problems publicly transport systems. People prefer Public
transport to travel to different places most commonly because of its cheap cost and safety. Most of the people don’t know the way to
some places; if they know the name of the place where they need to reach then it is easy to travel in public transport. The people of
teenage (13-19) most commonly use Public transport, as shown in Fig.1. This is because at their age, driving the two or four wheeler
is a difficult one and not safe for them. Public transport helps most of the physically challenged people and the old age people too.
Transportation is the major and main part in transporting things from one place to another. There are different types of
transportation say for example, Land transportation, Air transportation, Rail Transportation, Water transportation and Space
Transportation.
Fig.1 Public transportation usage by different age people.
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Land transportation: The land transportation carries resources over long, medium, and short distances from locations to alternative
locations victimizes the road routes by vehicle which is similar to that of land transportation. Some examples are lorry, vans, 2
wheelers, unmanned combat vehicles; military robot; joint light-weight military science vehicle (JLTV), utility vehicle, white goods
truck etc. Air transportation: product carried through plane merchandise most typically. The transport carries resources over long,
and short distances from locations to completely different locations victimization air routes by aircrafts, charter flights, planes or
others. Water transportation: significant product is carried through containers and is transported through water ways in which. The
water transportation carries resources over long distances from locations to various locations exploitation maritime routes composed
of oceans, coasts, seas, lakes, rivers, and canals of ships, or similar routes.
Rail Transportation: Rail transport carries resources over long, medium, and short distances road of wheeled vehicles running on rail
track or railway. Examples: Trains, metro, subway, rail technology train, aerodynamic lift train, intercity trains. Space
Transportation: This transportation carries resources from locations to various locations by suborbital and orbital flights at interva0ls
the upper atmosphere and conjointly the realm by Hall electrical propulsion or similar. There are so much good about the Public
transport but due to some irresponsible acts the implementation of the Public to a quality extreme is stopped or been slowed down.
We need to improve the transportation facility to a good extend and we can do it, as shown in Fig. 2.
Fig. 2 Overall usage of different transportation
II. SURVEY ON EXISTING ISSUES
Trinh Tu Anh and Trinh Thuy Anh (2007) specified the important analysis of bus safety and bus accidents. They had focused on
unsafe activities of transportation companies based on over speed and ineligible running. They designed three key issue teams
namely bus safety in infrastructure, busman behavior and operational safety. In the 1st of six months in 2006, bus accident state of
affairs was quite serious. It had been a pair of times higher compared to an equivalent amount of last time. The magnitude relation
of bus accidents accounted for 6.6% of traffic accidents. The important point is that bus accidents did lots of damages to the motor
cycles and motor drivers [1]. Fatality contribute 15.5 percent in 2005, 16.9 percent in 2006 and 14.49 percent in 2007, i.e., 15
person had died out of a hundred accidental victims in 2005 and this rate is being redoubled by the following year. The rate
of accident is increasing in proportional to the rise of population and vehicle [3].
A. Views On Accident Caused Due To Overload
Carrying more passengers than capacity by bus has been a problem state [4]. Some transportation medium squeeze people in the
spaces between the seats [4]. The road safety problem in developing countries is much worse than the official statistics projects
because of widespread of underreporting road accident deaths [3]. Around three-fourths of the annual Rs.550 billion loss from road
accidents was attributed to the unorganized truck transport industry. The foundation said over 92,500 people were killed each year
in road accidents in the country coming under the wheels of the overloaded vehicles The vehicle will be less stable, difficult to steer
and take longer to stop. Vehicles react differently when the maximum weights which they are designed to carry are exceeded.
Overloaded vehicles can cause the treys to overheat and wear rapidly which increases the chance of premature, dangerous and
expensive failure or blow-outs.
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B. Views On Accident Caused Due To Distraction
Distracted driving, it is that the act of driving whereas engaged in another activities like feeding snacks, texting, talking on phone
will create the driver distracted from his work [2]. Provides the statistics that shows that over 37th of drivers have admitted to
causation or receiving text messages whereas driving and 18 percent admit doing this frequently.
Driver distraction poses a big safety drawback within the personal and transport sector drawing the interest of many researchers. A
study funded by the aortic aneurysm Foundation known the main sources of non-public vehicle distraction contributive to crashes,
developed taxonomy of driver distractions, and examined the potential consequences of those distractions on driving performance
[4]. In 1998, quite 85 Percent of deaths and 90 Percent of incapacity adjusted life years lost worldwide attributable to road traffic
accidents occurred in developing countries [3], as shown in Fig. 3 which provides a statics that, a densely geographical region would
have bigger variety of passengers and better external sources of distraction attributable to a lot of request stops, different road users
or pedestrians, work zone activities, and toll booths etc., [7].
Fig. 3 Percentage of deaths in accidents (Source: WHO Global Burden of Disease Project, Version 1, 2002).
C. Accident Rates By Authors
An calculable 1.2 million people everywhere the planet area unit killed in road accidents every year and as several as 50
million area unit wounded [3]. Projections indicate that these figures can be enlarged by regarding 65percent over the next 20
years if it's not controlled. The distraction or causes of the accident area unit divided into 5 specific human causes were identified:
improper lookout (18–23 percent), excessive speed (8–17 percent), basic cognitive process (10–15 percent), improper maneuver (5–
13 percent), and internal distraction (6–9 percent) [2].
In 2015, 50 Million deaths and, Some Cities accounted for a share of 22.1 percent in total road accidents at intervals the country,
11.3 percent in total persons killed in road accidents and 16.4 percent in total persons injured in road accidents. Mumbai had the
simplest vary of road accidents (23,468) whereas town had the simplest range of deaths (1622) thanks to road accidents. Accident
severity in terms of proportion share of fifty Million Cities was 14.9 percent in 2015 as against 15 percent in 2014 [9], as shown in
Fig. 4.
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Fig. 4 Offence by different Transportation medium
D. Accident Caused Due To Non Professional Drivers
Maximum 65percent drivers have sensible information, got their driving coaching from none therefore referred to as “ostaad”,
i.e., guru or master that positively indicate that drivers haven't any institutional formal coaching for driving rather drive with
exploit the expertise and talent solely by following their ostaad (Driver). As a result, they are not well familiar with formal traffic
rules and laws required for driving within the roads [3], as shown in Fig. 5.
Fig. 5 Percentage of the practice and training of drivers
E. Accident Caused Due To Continues Driving
It is evident that concerning 52 drivers drive in every day but eight hours, about 12-tone system driver’s drive in every day
additional than12 hours. Attributable to durable of driving they feel fatigue and regularly involve in accident from exhaust in
driving. The drivers perpetually attempt to drive most trips per day for profit maximization; result drivers run with high speed and
face the road accidents [3], as shown in Fig. 6.
Fig. 6 Percentage of Drivers driving duration each day.
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Due to continuous driving the driver get drowsy and losses the control of the vehicle and which ends up in serious accident. There is
a great scientific reason that one should not drive without having a good sleep. You can drive without having food but not without
out having rest because that’s going to cause serious problem which may lead to loss of lives.
III. CONCLUSION AND FUTURE SCOPE
From the survey, it could be noticed that there are so many accidental deaths and injuries were caused by the distraction of the
public transport drivers. Deaths attributable to road accidents in 2009 were reportable to be 126,896 and in 2010 it exaggerated to
133,938 that is around 5.5 percent over and higher than the previous year's deaths and still keep on growing till date. The study
captured data of overall driving behavior in crashes and varied incidents, it had been not designed to conduct in-depth, and on-scene
investigations of crashes that unit necessary to work out the factors associated with pre-crash events. Crash-avoidance technology
continues to be introduced, and knowledge is required to gauge these systems, furthermore as establish priorities among investments
in rising technologies. This survey provides scope to automate the bus transport and ticket collection system so that the accident
caused due to the over load of the bus and distraction of the bus drivers can be reduced. The consumers can be provided with smart
card which consists of their identification details and also act as a prepaid card. So, even if accident occurs, consumers’
informationcan be easily identified which will be useful to provide necessary remedies.
REFERENCES
[1] Trinh Tu ANH, Trinh Thuy ANH “Bus Accident– A Problem In Public Transport In Hanoi Today” Journal of the Eastern Asia Society for Transportation
Studies, Vol. 7, 2007.
[2] Engr. Dr. A.O Oke, Engr. Dr. Arowolo M.O, Engr. Oyebamiji B.A and A.O Oloyede “The Relationship of Accident Risk Factors with Traffic Road Safety: A
Study on Commercial Mini-Bus Accident in Nigeria” IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) e-ISSN: 2278-1684,p-ISSN: 2320-
334X, Volume 14, Issue 3 Ver. VI. (May - June 2017), PP 34-38.
[3] B. K. Banik, M. A. I. Chowdhury, E. Hossain, B. Mojumdar “Road Accident and Safety Study in Sylhet Region of Bangladesh” Journal of Engineering Science
and Technology Vol. 6, No. 4 (2011) 493 – 505.
[4] K. A. D’Souza & S. K. Maheshwari “Improving performance of public transit buses by minimizing driver distraction” WIT Transactions on The Built
Environment, Vol. 128, © 2012 WIT Press.
[5] Nantulya, V.M. “The neglected epidemic: Road traffic injuries in developing countries”, BMJ, 324(7346):1139–1141(2002).
[6] S. Gopalakrishnan, “A Public Health Perspective of Road Traffic Accidents J Family Med Prim Care”, 2012 Jul-Dec; 1(2): 144–150.
[7] Accidental Deaths and Suicides in India – 2010. National Crime Records Bureau. Ministry of Home Affairs. Government of India. [Last cited 2012 April 16].
[8] National Motor. Vehicle Crash Causation Survey.This document is available to the public from the National Technical Information Service, Springfield,
Virginia 22161. This publication is distributed by the U.S. Department of Transportation, National Highway Traffic Safety Administration, in the interest of
information exchange.
[9] ROAD ACCIDENTS IN INDIA – 2015 Published by ministry of road transport and highways of INDIA on 23rd MAY 2016.
[10] Nikita.V Shahane, Rutuja Pande, Rutuja Narkhede, S.R Vispute “Survey for Regulating Bus Services usingCommuters Density”,International Journal of
Innovative Research in Computerand Communication Engineering Vol. 3, Issue 11, November 2015.
[11] Amditis, A., Pagle, K., Joshi, S., Bekiaris, E.,“Driver-vehicle-environment monitoring for on board driver support systems”. Use cases and validation. Applied
Ergonomics 41(2) 2010.
[12]
Hoque, M.M. (2001). “Road safety improvement in developing countries: Priority issues and options”,
Proceedings of 20th Australian Road Research
Board (ARRB) Conference.
[13] Petrucci, C. J. “A primer for social worker researchers on how to conduct a multinomial logistic regression”, Journal of Social Service Research, 35 (2), pp.
193-205, 2009.
[14] Washington, S.P., Karlaftis, M.G. & Mannering, F.L. “Statistical and Econometric Methods for Transportation Data Analysis”, Chapman & Hall/CRC, A CRC
Press Company, Boca Raton, FL, pp. 257-295, 2003.
[15] T.Manikandan, PG.Kalaiyarasi, PK.Priyadharshini, PR.Priyanga “Conductor less Bus Ticketing System Using RFID and Accident Information through
GPS and GSM”, International Journal of Innovative Science, Engineering & Technology, Vol. 2 Issue 9, September 2015.
... Some transportation medium squeeze people in the spaces between the seats. The road safety problem in developing countries is much worse than the official statistics projects because of widespread of underreporting road accident deaths [1]. Boarding the bus while it is in the movement also causes the death to the passenger. ...
... Vehicles respond diversely when the most extreme weights which they are intended to convey are surpassed. Over-burden vehicles can cause the treys to overheat and wear quickly which expands the possibility of early, risky and costly disappointment or successes [1]. ...
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Preface Introduction Transportation is integral to developed societies. It is responsible for personal mobility which includes access to services, goods, and leisure. It is also a key element in the delivery of consumer goods. Regional, state, national, and the world economy rely upon the efficient and safe functioning of transportation facilities. In addition to the sweeping influence transportation has on economic and social aspects of modern society, transportation issues pose challenges to professionals across a wide range of disciplines including transportation engineers, urban and regional planners, economists, logisticians, systems and safety engineers, social scientists, law enforcement and security professionals, and consumer theorists. Where to place and expand transportation infrastructure, how to safely and efficiently operate and maintain infrastructure, and how to spend valuable resources to improve mobility, access to goods, services and healthcare, are among the decisions made routinely by transportation-related professionals. Many transportation-related problems and challenges involve stochastic processes that are influenced by observed and unobserved factors in unknown ways. The stochastic nature of these problems is largely a result of the role that people play in transportation. Transportation-system users are routinely faced with decisions in contexts such as what transportation mode to use, which vehicle to purchase, whether or not to participate in a vanpool or telecommute, where to relocate a business, whether or not to support a proposed light-rail project and whether to utilize traveler information before or during a trip. These decisions involve various degrees of uncertainty. Transportation-system managers and governmental agencies face similar stochastic problems in determining how to measure and compare system measures of performance, where to invest in safety improvements, how to efficiently operate transportation systems and how to estimate transportation demand. As a result of the complexity, diversity, and stochastic nature of transportation problems, the methodological toolbox required of the transportation analyst must be broad. Approach The third edition of Statistical and Econometric Methods offers an expansion over the first and second editions in response to the recent methodological advancements in the fields of econometrics and statistics, to address reader and reviewer comments on the first and second editions, and to provide an increasing range of examples and corresponding data sets. This book describes and illustrates some of the statistical and econometric tools commonly used in transportation data analysis. Every book must strike an appropriate balance between depth and breadth of theory and applications, given the intended audience. This book targets two general audiences. First, it can serve as a textbook for advanced undergraduate, Masters, and Ph.D. students in transportation-related disciplines including engineering, economics, urban and regional planning, and sociology. There is sufficient material to cover two 3-unit semester courses in statistical and econometric methods. Alternatively, a one semester course could consist of a subset of topics covered in this book. The publisher’s web-site contains the numerous datasets used to develop the examples in this book so that readers can use them to reinforce the modeling techniques discussed throughout the text. The book also serves as a technical reference for researchers and practitioners wishing to examine and understand a broad range of statistical and econometric tools required to study transportation problems. It provides a wide breadth of examples and case studies, covering applications in various aspects of transportation planning, engineering, safety, and economics. Sufficient analytical rigor is provided in each chapter so that fundamental concepts and principles are clear and numerous references are provided for those seeking additional technical details and applications. Data-Driven Methods vs. Statistical and Econometric Methods In the analysis of transportation data, four general methodological approaches have become widely applied: data-driven methods, traditional statistical methods, heterogeneity models, and causal inference models (the latter three of which fall into the category of statistical and econometric methods and are covered in this text). Each of these methods have an implicit trade-off between practical prediction accuracy and their ability to uncover underlying causality. Data-driven methods include a wide range of techniques including those relating to data mining, artificial intelligence, machine learning, neural networks, support vector machines, and others. Such methods have the potential to handle extremely large amounts of data and provide a high level of prediction accuracy. On the down side, such methods may not necessarily provide insights into underlying causality (truly understanding the effects of specific factors on accident likelihoods and their resulting injury probabilities). Traditional statistical methods provide reasonable predictive capability and some insight into causality, but they are eclipsed in both prediction and providing causal insights by other approaches Heterogeneity models extend traditional statistical and econometric methods to account for potential unobserved heterogeneity (unobserved factors that may be influencing the process of interest). Causal-inference models use statistical and econometric methods to focus on underlying causality, often sacrificing predictive capability to do so. Even though data-driven methods are often a viable alternative to the analysis of transportation data if one is interested solely in prediction and not interested in uncovering causal effects, because the focus of this book is uncovering issues of causality using statistical and econometric methods, data-driven methods are not covered. Chapter topics and organization Part I of the book provides statistical fundamentals (Chapters 1 and 2). This portion of the book is useful for refreshing fundamentals and sufficiently preparing students for the following sections. This portion of the book is targeted for students who have taken a basic statistics course but have since forgotten many of the fundamentals and need a review. Part II of the book presents continuous dependent variable models. The chapter on linear regression (Chapter 3) devotes additional pages to introduce common modeling practice—examining residuals, creating indicator variables, and building statistical models—and thus serves as a logical starting chapter for readers new to statistical modeling. The subsection on Tobit and censored regressions is new to the second edition. Chapter 4 discusses the impacts of failing to meet linear regression assumptions and presents corresponding solutions. Chapter 5 deals with simultaneous equation models and presents modeling methods appropriate when studying two or more interrelated dependent variables. Chapter 6 presents methods for analyzing panel data—data obtained from repeated observations on sampling units over time, such as household surveys conducted several times to a sample of households. When data are collected continuously over time, such as hourly, daily, weekly, or yearly, time series methods and models are often needed and are discussed in Chapters 7 and 8. New to the 2nd edition is explicit treatment of frequency domain time series analysis including Fourier and Wavelets analysis methods. Latent variable models, discussed in Chapter 9, are used when the dependent variable is not directly observable and is approximated with one or more surrogate variables. The final chapter in this section, Chapter 10, presents duration models, which are used to model time-until-event data as survival, hazard, and decay processes. Part III in the book presents count and discrete dependent variable models. Count models (Chapter 11) arise when the data of interest are non-negative integers. Examples of such data include vehicles in a queue and the number of vehicle crashes per unit time. Zero inflation—a phenomenon observed frequently with count data—is discussed in detail and a new example and corresponding data set have been added in this 2nd edition. Logistic Regression is commonly used to model probabilities of binary outcomes, is presented in Chapter 12, and is unique to the 2nd edition. Discrete outcome models are extremely useful in many study applications, and are described in detail in Chapter 13. A unique feature of the book is that discrete outcome models are first considered statistically, and then later related to economic theories of consumer choice. Ordered probability models (a new chapter for the second edition) are presented in Chapter 14. Discrete-continuous models are presented in Chapter 15 and demonstrate that interrelated discrete and continuous data need to be modeled as a system rather than individually, such as the choice of which vehicle to drive and how far it will be driven. Finally, Part IV of the book contains massively expanded chapter on random parameters models (Chapter 16), a new chapter on latent class models (Chapter 17), a new chapter on bivariate and multivariate dependent variable models (Chapter 18) and an expanded chapter on Bayesian statistical modeling (Chapter 19). Models that deal with unobserved heterogeneity (random parameters models and latent class models) have become the standard statistical approach in many transportation sub-disciplines and Chapters 16 and 17 provide an important introduction to these methods. Bivariate and multivariate dependent variable models are encountered in many transportation data analyses. Although the inter-relation among dependent variables has often been ignored in transportation research, the methodologies presented in Chapter 18 show how such inter-dependencies can be accurately modeled. The chapter on Bayesian statistical models (Chapter 19) arises as a result of the increasing prevalence of Bayesian inference and Markov Chain Monte Carlo Methods (an analytically convenient method for estimating complex Bayes’ models). This chapter presents the basic theory of Bayesian models, of Markov Chain Monte Carlo methods of sampling, and presents two separate examples of Bayes’ models. The appendices are complementary to the remainder of the book. Appendix A presents fundamental concepts in statistics which support analytical methods discussed. Appendix B provides tables of probability distributions used in the book, while Appendix C describes typical uses of data transformations common to many statistical methods. While the book covers a wide variety of analytical tools for improving the quality of research, it does not attempt to teach all elements of the research process. Specifically, the development and selection of research hypotheses, alternative experimental design methodologies, the virtues and drawbacks of experimental versus observational studies, and issues involved with the collection of data are not discussed. These issues are critical elements in the conduct of research, and can drastically impact the overall results and quality of the research endeavor. It is considered a prerequisite that readers of this book are educated and informed on these critical research elements in order to appropriately apply the analytical tools presented herein. Simon P. Washnington Mathew G. Karlaftis Fred L. Mannering Panigiotis Ch. Anastasopoulos
Bus Accident-A Problem In Public Transport In Hanoi Today
  • Trinh Tu
  • Trinh Thuy
Trinh Tu ANH, Trinh Thuy ANH "Bus Accident-A Problem In Public Transport In Hanoi Today" Journal of the Eastern Asia Society for Transportation Studies, Vol. 7, 2007.
Survey for Regulating Bus Services usingCommuters Density
  • Nikita Shahane
  • Rutuja Pande
  • Rutuja Narkhede
  • S Vispute
Nikita.V Shahane, Rutuja Pande, Rutuja Narkhede, S.R Vispute "Survey for Regulating Bus Services usingCommuters Density",International Journal of Innovative Research in Computerand Communication Engineering Vol. 3, Issue 11, November 2015.
Driver-vehicle-environment monitoring for on board driver support systems". Use cases and validation
  • A Amditis
  • K Pagle
  • S Joshi
  • E Bekiaris
Amditis, A., Pagle, K., Joshi, S., Bekiaris, E.,"Driver-vehicle-environment monitoring for on board driver support systems". Use cases and validation. Applied Ergonomics 41(2) 2010.
Road safety improvement in developing countries: Priority issues and options
  • M M Hoque
Hoque, M.M. (2001). "Road safety improvement in developing countries: Priority issues and options", Proceedings of 20 th Australian Road Research Board (ARRB) Conference.