Mohammed Quddus

Mohammed Quddus
Imperial College London | Imperial

BSc, MEng, PhD

About

151
Publications
84,950
Reads
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9,477
Citations
Additional affiliations
August 2006 - present
Loughborough University
Position
  • Professor (Full)
August 2006 - present
Loughborough University
Position
  • Professor (Full)
Description
  • Teaching: Quantitative Analysis in Transport, Transport Safety and Transport Engineering
July 2001 - July 2006
Imperial College London
Position
  • Research Associate
Education
August 2002 - November 2005
Imperial College London
Field of study
  • Intelligent Transport Systems
August 1999 - July 2001
National University of Singapore
Field of study
  • Master of Engineering (Transport)
September 1993 - August 1998

Publications

Publications (151)
Preprint
Full-text available
Vehicle Ad-hoc Networks (VANETs) act as the core of vehicular communications and provide the fundamental wireless communication architecture to support both vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication. Therefore, by leveraging only communication technologies, Connected Vehicles (CVs) can navigate through the dynamic r...
Article
The emergence of Intelligent Connected Vehicles (ICVs) is expected to drastically change various fields in the transportation system—especially traffic safety of road users. Therefore, this special issue aims to facilitate a forum for transportation researchers fostering an exchange of research ideas and experience in traffic safety with a specific...
Article
Full-text available
Existing autonomous driving systems of intelligent vehicles such as advanced driver assistant systems (ADAS) assess and quantify the level of potential safety threats. However, they may not be able to plan the best response to unexpected dangerous situations and do not have the ability to cope with uncertainties since not all vehicles can always ke...
Article
Full-text available
Town centres in the economically developed world have struggled in recent years to attract sufficient visitors to remain economically sustainable. However, decline has not been uniform, and there is considerable variation in how different town centres have coped with these challenges. The arrival of the coronavirus (COVID-19) pandemic public health...
Article
Full-text available
With the ever-increasing advancements in the technology of driver assistant systems, there is a need for a comprehensive way to identify traffic conflicts to avoid collisions. Although significant research efforts have been devoted to traffic conflict techniques applied for junctions, there is dearth of research on these methods for motorways. This...
Article
Real-time crash prediction is a heavily studied area given their potential applications in proactive traffic safety management in which a plethora of statistical and machine learning (ML) models have been developed to predict traffic crashes in real-time. However, one of the fundamental issues relating to the application of these models is spatio-t...
Article
Semantic segmentation is paramount for autonomous vehicles to have a deeper understanding of the surrounding traffic environment and enhance safety. Deep neural networks (DNN) have achieved remarkable performances in semantic segmentation. However, training such a DNN requires a large amount of labelled data at pixel level. In practice, it is a lab...
Article
Full-text available
Vehicle-to-everything (V2X) communication in vehicular ad hoc network (VANET) has emerged as a crucial component in advanced Intelligent Transport System (ITS) for information transmission and vehicular communication. One of the vital research challenges in VANET is the design and implementation of novel network routing protocols which bring reliab...
Article
Rail use and rail traffic in the UK increased substantially in the 25 years from 1994 to the end of 2019, a situation which led to progressively more delays and increasingly dissatisfied passengers. This study aims to quantify how disruptions to rail services are perceived by passengers to highlight situations that cause the highest rates of dissat...
Article
Micro-mobility vehicles such as electric bicycles, or e-bikes, are becoming one of the essential transportation modes in metropolitan areas, and most deliveries in large cities are dependent on them. Due to the e-bike’s popularity and vulnerability, e-bike crash occurrence has become a major traffic safety problem in many cities across the world; f...
Article
Examining the relationships between the factors associated with the crash development enabled the realisation of driver support systems aiming to proactively avert and control crash causation at various points within the crash sequence. Developing such systems requires new insights in personalised pre-crash driver behaviour with respect to braking...
Article
This paper examines the impact of large-scale transport investment and the resulting increase of accessibility on the Gross Domestic Product (GDP) in the Kingdom of Saudi Arabia (KSA). Spatial and temporal economic data for the 13 regions of the country from 1999 to 2018 are analyzed using static and dynamic panel data models. Both first difference...
Article
Issues around the journey to school are often in the news, and so are never far removed from the public and political consciousness. School Travel Plans (STPs) have been proven to reduce car use and their impacts around the world but are not aswidespread as they might be because of a perceived lack of knowledge about the potential outcomes of less...
Article
With the emergence of connected vehicle (CV) technology, there is a doubt whether CVs can improve driver intentions and behaviors, and thus protect them from accidents with the provision of real-time information. In order to understand the possible impacts of the real-time information provided by CV technology on drivers, this paper aims to develop...
Article
Safer roads and police enforcement are closely associated since the latter directly encourages road users to improve their behavior by complying with basic traffic rules and laws. Understanding the relationships between police enforcement, driving behavior, and traffic safety is a prerequisite for optimizing enforcement strategies. However, there i...
Article
Full-text available
Classical artificial potential approach of motion planning is extended for emulating human driving behaviour in two dimensions. Different stimulus parameters including type of ego-vehicle, type of obstacles, relative velocity, relative acceleration, and lane offset are used. All the surrounding vehicles are considered to influence drivers' decision...
Article
Given the severe traffic safety issue, tremendous efforts have been devoted to identify the crash contributing factors for developing and implementing safety improvement countermeasures. According to the study findings, driving behaviors have attributed to the majority crash occurrence, among which inadequate driving capability is a key factor. The...
Preprint
Vehicle-to-everything (V2X) communication in the vehicular ad hoc network (VANET), an infrastructure-free mechanism, has emerged as a crucial component in the advanced Intelligent Transport System (ITS) for special information transmission and inter-vehicular communications. One of the main research challenges in VANET is the design and implementat...
Article
The urban expressway system serves as a key role in the roadway transportation system. It provides an efficient and comfortable approach for long-distance travel within the city. However, the safety status of the urban expressways is becoming a critical issue as the high-frequent traffic crashes have severely influenced the traffic operations. Amon...
Article
Recently, technologies for predicting traffic conflicts in real-time have been gaining momentum due to their proactive nature of application and the growing implementation of ADAS technology in intelligent vehicles. In ADAS, machine learning classifiers are utilised to predict potential traffic conflicts by analysing data from in-vehicle sensors. I...
Article
Road traffic accidents have decreased in most developed nations over the last decade. This has been attributed to improvements in vehicle and road design, medical technology and care, and driver education and training. Recent evidence however indicates that fuel price changes also have a significant impact on road traffic accidents through other me...
Article
In recent decades, driving assistance systems have been evolving towards personalization for adapting to different drivers. With considering personal driving preferences and characteristics , these systems become more acceptable and trustworthy. This paper presents a survey of recent advances in implicit personalized driving assistance. We classify...
Article
Analysis of lane change is important for microsimulation and safety improvement, and can also provide reference for advanced driver assistance systems (ADAS) and connected and autonomous vehicles (CAVs). Yet little research has comprehensively explored lane changing, particularly in China, a site of current CAV testing. This study developed an auto...
Article
Real-time risk assessment of autonomous driving at tactical and operational levels is extremely challenging since both contextual and circumferential factors should concurrently be considered. Recent methods have started to simultaneously treat the context of the traffic environment along with vehicle dynamics. In particular, interaction-aware moti...
Article
Reliable driving state recognition (e.g. normal, drowsy, and aggressive) plays a significant role in improving road safety, driving experience and fuel efficiency. It lays the foundation for a number of advanced functions such as driver safety monitoring systems and adaptive driving assistance systems. In these applications, state recognition accur...
Article
Crash frequency prediction models have been an important subject of safety research that unveils a relationship between crash occurrences and their influencing factors. Recently, the hourly-based refined-scale crash frequency analysis becomes attractive since it holds the benefits of introducing time-varying explanatory information (e.g. traffic vo...
Conference Paper
Full-text available
Vehicular Ad-hoc Networks (VANETs) technology has been emerged as an important research topic in recent years. This is because the vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications are becoming more popular in the field of Intelligent Transportation System (ITS) so as to further enhance traffic efficiency, safety, emission...
Article
Investigating crash progression through naturalistic driving studies (NDS) could give valuable insights in crash causation analysis and thus, benefit crash prevention. This study utilises NDS data from the Strategic Highway Research Program 2 (SHRP2 NDS data) to look into the whole crash sequence, from a normal driving situation until a crash or a...
Article
Background Recent advance in variable message signs (VMS) technology has made it viable to provide spatio-temporal information on traffic and network conditions to drivers. There is a debate whether VMS diverts drivers’ attention away from the road and may cause unnecessary distraction in their driving tasks due to inconsistent VMS contents and for...
Article
The bus transport system in Dhaka is unsafe, unreliable, inefficient and struggles to cope with the day-to-day mobility of its massive population. Consequently, measuring the performance of bus service quality (SQ) from the customers’ perspective is fundamental in planning a sustainable bus transport system for Dhaka, and in developing the associat...
Article
Recent technological advancements bring the Connected and Autonomous Vehicles (CAVs) era closer to reality. CAVs have the potential to vastly improve road safety by taking the human driver out of the driving task. However, the evaluation of their safety impacts has been a major challenge due to the lack of real-world CAV exposure data. Studies that...
Article
Proactive traffic safety management systems can monitor traffic conditions in real-time, identify the formation of unsafe traffic dynamics, and implement suitable interventions to bring unsafe conditions back to normal traffic situations. Recent advancements in artificial intelligence, sensor fusion and algorithms have brought about the introductio...
Article
Full-text available
Existing map-Matching (MM) algorithms primarily localize positioning fixes along the centerline of a road and have largely ignored road width as an input. Consequently, vehicle lane-level localization, which is essential for stringent Intelligent Transport System (ITS) applications, seems difficult to accomplish, especially with the positioning dat...
Article
Full-text available
Link: https://dspace.lboro.ac.uk/2134/35956 Highway works are highly inconvenient and disruptive for society. Accordingly, four highway policy interventions were investigated in Derby, England for potential corresponding reductions in highway works durations. Time series analysis tested the durational impacts on Highway Authority (HA) and utility...
Article
The impact of operating speed on traffic crash occurrence has been a controversial topic in the traffic safety discipline as some studies reported a positive association whereas others indicated a negative relationship between speed and crashes. Two major issues thought to be accountable for such conflicting findings are the application of inapprop...
Article
One of the proactive approaches in reducing traffic crashes is to identify hazardous traffic conditions that may lead to a traffic crash, known as real-time crash prediction. Threshold selection is one of the essential steps of real-time crash prediction. And it provides the cut-off point for the posterior probability which is used to separate pote...
Chapter
Purpose – Time-series regression models are applied to analyse transport safety data for three purposes: (1) to develop a relationship between transport accidents (or incidents) and various time-varying factors, with the aim of identifying the most important factors; (2) to develop a time-series accident model in forecasting future accidents for th...
Article
Speed and speed variation are closely associated with traffic safety. There is, however, a dearth of research on this subject for the case of urban arterials in general, and in the context of developing nations. In downtown Shanghai, the traffic conditions in each direction are very different by time of day, and speed characteristics during peak ho...
Article
Lane departures are responsible for many side-swipe, rear-end and single-vehicle run-off-road crashes. There is a dearth of research, however, on how lane departures are impacted by roadway alignments. The objective of this paper is to examine which geometric design characteristics, including road alignment at the current segment and the adjacent s...
Article
Full-text available
Current approaches to estimate the probability of a traffic collision occurring in real-time primarily depend on comparing traffic conditions just prior to collisions with normal traffic conditions. Most studies acquire pre-collision traffic conditions by matching the collision time in the national crash database with the time in the traffic databa...
Article
Full-text available
A Workplace Parking Levy (WPL) scheme raises a levy on private non-domestic off street parking provided by employers. In April 2012 Nottingham became the first UK City to implement such a scheme with the revenue generated hypothecated for funding transport improvements. The lag between the introduction of the WPL and the opening of related public t...
Article
Crash databases are one of the primary data sources for road safety research. Therefore, their quality is fundamental for the accuracy of crash analyses and, consequently the design of effective countermeasures. Although crash data often suffer from correctness and completeness issues, these are rarely discussed or addressed in crash analyses. Cras...
Article
Vehicles searching for parking create an environmental and economic impact. Despite negative externalities for individual drivers and society as a whole, there is a dearth of research in the area of parking search from the perspective of local government authorities. The aim of this paper is to ascertain the perceptions of local authority policymak...
Article
Most research in vehicle automation has mainly focused on the safety aspect with only limited studies focusing on occupants' discomfort. To facilitate their rapid uptake and penetration, autonomous vehicles (AVs) should ensure that occupants are both safe and comfortable. Recent research, however, revealed that people felt uncomfortable when AVs br...
Article
This paper highlights the impact of train and station types in the evaluation of service quality. A range of relevant trip and sociodemographic factors was taken into account. A partial constrained proportional odds model (an extension of the ordered logit model) was applied to data extracted from the 32nd wave of the National Rail Passenger Survey...
Article
Vehicles searching for parking create an environmental and economic impact. Despite negative externalities for individual drivers and society as a whole, there is a dearth of research in the area of parking search. The aim of this paper is to ascertain the perceptions of expert public policy stakeholders in relation to parking search. Local authori...
Article
Full-text available
Existing methods of estimating travel time from GPS data are not able to simultaneously take account of the issues related to uncertainties associated with GPS and spatial road network data. Moreover, they typically depend upon high frequency data sources from specialist data providers which can be expensive and are not always readily available. Th...
Article
Full-text available
Traffic injuries on motorways are a public health problem worldwide. Collisions on motorways represent a high injury rate in comparison to the entire national network. Furthermore, collisions that occur on the hard–shoulder are even more severe than those that happen on the main carriageway. The purpose of this paper is to explore motorway safety t...
Conference Paper
Full-text available
This paper examines the theory and application of a recently developed machine learning technique namely Relevance Vector Machines (RVMs) in the task of traffic conditions classification. Traffic conditions are labelled as dangerous (i.e. probably leading to a collision) and safe (i.e. a normal driving) based on 15-minute measurements of average sp...
Article
Full-text available
According to safety observations from motorway operators in the United Kingdom, the hard-shoulder is occasionally violated by road users travelling in the nearside lane. These unintentional movements (hard-shoulder incursions) can impose risk to operatives performing activities on the network. To further investigate these events, a sensor-based sys...
Article
Full-text available
Speed limit changes are considered to lead to proportional changes in the number and severity of crashes. To predict the impact of a speed limit alteration, it is necessary to define a relationship between crashes and speed on a road network. This paper examines the relationship of crashes with speed, as well as with other traffic and geometric var...
Article
Full-text available
Although speed is considered to be one of the main crash contributory factors, research findings are inconsistent. Independent of the robustness of their statistical approaches, crash frequency models typically employ crash data that are aggregated using spatial criteria (e.g., crash counts by link termed as a link-based approach). In this approach...
Conference Paper
The spatial nature of traffic crashes makes crash locations one of the most important and informative attributes of crash databases. It is however very likely that recorded crash locations in terms of easting and northing coordinates, distances from junctions, addresses, road names and types are inaccurately reported. Improving the quality of crash...
Article
Full-text available
Problem The severity of motorway accidents that occurred on the hard shoulder (HS) is higher than for the main carriageway (MC). This paper compares and contrasts the most important factors affecting the severity of HS and MC accidents on motorways in England. Method Using police reported accident data, the accidents that occurred on motorways in E...
Article
Full-text available
Currently autonomous or self-driving vehicles are at the heart of academia and industry research because of its multi-faceted advantages that includes improved safety, reduced congestion, lower emissions and greater mobility. Software is the key driving factor underpinning autonomy within which planning algorithms that are responsible for mission-c...
Article
The purpose of this study was to use a statistical model to examine the effects of various geodemographic factors on levels of driver injury severity. A driver’s geodemographic profile with respect to involvement in a traffic crash consists of variables from multiple hierarchical levels such as drivers nested within crashes and crashes clustered wi...
Article
This paper presents a novel application in route choice modelling using Global Positioning System (GPS) data, focussing on heavy goods vehicles which typically make longer journeys with decisions potentially underpinned by different priorities from those used by car drivers. The scope of the study is larger than many previous ones, using the entire...
Article
Full-text available
Map-matching algorithms that utilise road segment connectivity along with other data (i.e. position, speed and heading) in the process of map-matching are normally suitable for high frequency (1 Hz or higher) positioning data from GPS. While applying such map-matching algorithms to low frequency data (such as data from a fleet of private cars, buse...
Article
Full-text available
Local transport systems in rural areas worldwide are facing significant challenges. In particular, increased car ownership and usage as well as broader socio-economic trends such as ageing populations and cuts in public spending are combining to threaten the bus–the traditional means by which people without cars have accessed the services that they...
Conference Paper
Although traffic speed is considered as one of the major contributory factors for crashes, research findings on the relationship of speed and crash frequency are not consistent. This is possibly because the overly aggregated data, used by segment-based crash modelling approaches, fail to describe the pre-crash traffic conditions that are related wi...
Article
Vehicles in search of on-street parking create an environmental and economic impact: they increase network traffic flow and congestion, heighten pollutant emissions levels, create additional noise, give rise to time delays for through vehicles, and lead to potential safety hazards when vehicles maneuver into or out of on-street spaces. Despite exte...
Article
Full-text available
Various studies have advocated the potential for Demand Responsive Transport (DRT) services to deliver sustainable local public transport. This paper investigates the sustainability credentials of DRT services using evidence from UK-based research. More specifically, six potential DRT market niches were identified, including those which offer poten...
Article
PurposeParking choice involves an individual selecting a parking place based upon various inter-related factors. This chapter examines the factors that influence parking choice decisions. MethodologyA review of the literature on parking choice has been undertaken. The influence of various factors on parking choice and recommendations for future par...
Article
Full-text available
Many developed countries are using a challenging Zero Waste concept to change current waste management practices to more sustainable methods of managing waste, including household waste. The concept includes waste prevention; high levels of recycling and recovery of all resources from waste; and behavioural change. This research provides a case stu...
Conference Paper
Full-text available
EU and UK Government targets for minimising and recycling household waste has led the responsible authorities to research the alternatives to landfill. In the work reported here the local waste collection authority (Charnwood Borough Council) has adopted the aspirational strategy of becoming a “Zero Waste Borough” to lead the drive for public parti...
Article
Full-text available
In the current economic climate, the British Government is revising a whole range of policy sectors to highlight areas where savings and cuts can be made. The policy of subsidising home-to-school transport for pupils who live beyond a set distance from the school which they attend has been in place since 1944 and this policy costs local authorities...
Article
Full-text available
Accurate crash location data in crash databases can be shown to be essential for crash modelling, crash mapping, hazardous road segment identification and other studies that aim to decrease the number of crashes within a network area. In this paper a generic and high-accuracy automatic crash mapping method is developed and presented. The methodolog...
Article
Ever since the 1970s, Demand Responsive Transport (DRT) has been promoted as a transport solution in circumstances where more traditional services are not economically viable, although so far a range of barriers has prevented its widespread adoption. More recently, new developments in operational and vehicle technology, coupled with significant cut...