Professor Mohammed Quddus

Recent breakthroughs in technology, digital infrastructure, dynamic mapping and big data computing will transform the way we will plan, undertake, interact, make decisions and use our built environment and transport infrastructure for the movement of people and goods. My approach to understanding, examining and addressing complex transport problems and challenges is data-driven and quantitativein nature. This involves the development and application of intelligent sensor fusion algorithms to integrate data from sensors/systems using artificial intelligence techniques (machine learning, neural networks, fuzzy logic), advanced statistical modeling of crash data with the aim of formulating safety policies and micro-simulation techniques.  

Over the last 20 years, I have conducted cutting-edge research leading to innovative, influentialand transformativeoutcomes in the areas of transport modelling and simulation, safety analysis and modelling and connected and autonomous vehicles (CAVs). My research in the area of Intelligent Transport Systems (ITS) has led to the development of a series of new navigation, tracking, simulation and path planning algorithms and methods that utilise data from different sensors and systems (such as GPS, vehicle motion sensors, cameras, dynamic vehicle models and spatial GIS road network data). My seminal papers on map-matching algorithms have been influential and highly cited by researchers world-wide. My map-matching algorithms have been implemented by Highways England and different ITS companies worldwide. 

My current research challenges include: (a) how could we integrate traffic engineering theories with robotics in developing collision-free motion planning for (semi)autonomous vehicles? (b) How could we estimate the impacts of CAVs on network-level safety and congestion? (c) Could we assist automobile industry in developing intelligent sensor fusion algorithms that would take data from low-cost sensors but provide better quality outputs?  

Current research activity

• Towards More Autonomy for Unmanned Vehicles: Situational Awareness and Decision Making under Uncertainty (EPSRC), https://www.ukcric.com/
• CAVIAR: Connected and Autonomous Vehicles Infrastructure Appraisal Readiness (InnovateUK/Highways England)
• LEVITATE: Societal level impacts of connected and autonomous vehicles (EU H2020), https://levitate-project.eu/
• SafetyCube: Safety CaUsation, Benefits and Efficiency (EU H2020), https://www.safetycube-project.eu/
• Assessing the Impact of Intelligent Mobility (IM) on Traffic Performance (Highways England)
• Evaluating small-scale rail investment decisions in relation to passenger satisfaction (Govia Thameslink Railway (GTR) Ltd/EPSRC)
• Automated Mobility - developing a safer and smarter transport system through advances in automation and intelligent mobility (mini Centre for Doctoral Training)

Recently completed research projects 

•  RiMATTS: Real-time Intelligent Map-matching Algorithms for Advanced Transport Telematics Systems (EPSRC)
• DRT for DRT: Developing Relevant Tools for Demand Responsive Transport(EPSRC)
• School Transport and  GIS: Modelling Policy Options in the Real World(JMP/EPSRC)
• Estimation of a Risk Profile for Operatives and the Public from Motorway Hardshoulder Incursion (Balfour Beatty/EPSRC)
• Disaggregated Scenarios for Demand Studies (DS4DS) (UKERC)
• Freight Route Choice using GPS Data (Department for Transport)
• Assessing the Relationship Between Speed and Casualties (Department for Transport)
• Public Transport Accessibility - a GIS Approach(EPSRC/JMP)
• Logistics and Management of Household Waste Collection (SERCO/EPSRC)

• Katrakazas, C, Quddus, M, Chen, W-H (2019) A new integrated collision risk assessment methodology for autonomous vehicles, Accident Analysis & Prevention, 127, pp.61-79, ISSN: 0001-4575. DOI: 10.1016/j.aap.2019.01.029.
• Hossain, M, Abdel-Aty, M, Quddus, MA, Muromachi, Y, Sadeek, SN (2019) Real-time crash prediction models: State-of-the-art, design pathways and ubiquitous requirements, Accident Analysis and Prevention, 124, pp.66-84, ISSN: 0001-4575. DOI: 10.1016/j.aap.2018.12.022.
• Papadoulis, A, Quddus, M, Imprialou, M (2019) Evaluating the safety impact of connected and autonomous vehicles on motorways, Accident Analysis and Prevention, 124, pp.12-22, ISSN: 0001-4575. DOI: 10.1016/j.aap.2018.12.019.
• Quddus, MA, Rahman, F, Monsuur, F, Ona, JD, Enoch, MP (2019) Analysing bus passengers' satisfaction in Dhaka using discrete choice models, Transportation Research Record, 2673(2), pp.758-768, ISSN: 0361-1981. DOI: 10.1177/0361198119825846.
• Zhao, W, Quddus, MA, Huang, H, Lee, J, Ma, Z (2019) Analyzing drivers’ preferences and choices for the content and format of variable message signs (VMS), Transportation Research Part C: Emerging Technologies, 100, pp.1-14, ISSN: 0968-090X. DOI: 10.1016/j.trc.2019.01.013.
• Papazikou, E, Quddus, MA, Thomas, P, Kidd, D (2019) What came before the crash? An investigation through SHRP2 NDS data, Safety Science, ISSN: 0925-7535. DOI: 10.1016/j.ssci.2019.03.010.
• Yang, M, Wang, X, Quddus, MA(2019) Examining lane change gap acceptance, duration and impact using naturalistic driving data, Transportation Research Part C: Emerging Technologies, pp.317-331, ISSN: 1879-2359. DOI: 10.1016/j.trc.2019.05.024.
• Yu, R, Wang, Y, Quddus, MA, Li, J (2019) A marginalized random effects hurdle negative binomial model for analyzing refined-scale crash frequency data, Analytic Methods in Accident Research, pp.100092-100092, ISSN: 2213-6657. DOI: 10.1016/j.amar.2019.100092.
• Yi, D, Su, J, Liu, C, Quddus, MA, Chen, W-H (2019) A machine learning based personalized system for driving state recognition, Transportation Research Part C: Emerging Technologies, pp.241-261, ISSN: 1879-2359. DOI: 10.1016/j.trc.2019.05.042.
• Wang, X, Zhou, Q, Quddus, M, Fan, T, Fang, S (2018) Speed, speed variation and crash relationships for urban arterials, Accident Analysis and Prevention, 113, pp.236-243, ISSN: 0001-4575. DOI: 10.1016/j.aap.2018.01.032.
• Chen, Y, Quddus, MA, Wang, X (2018) Impact of combined alignments on lane departure: A simulator study for mountainous freeways, Transportation Research Part C: Emerging Technologies, pp.346-359, ISSN: 1879-2359. DOI: 10.1016/j.trc.2017.11.010.
• Brooke, S, Ison, SG, Quddus, MA(2018) Analysing parking search ('cruising') time using generalised multilevel structural equation modelling, Journal of Transport, Economics and Policy, 52(3), pp.202-220, ISSN: 0022-5258.
• Yang, K, Yu, R, Wang, X, Quddus, MA, Xue, L (2018) How to determine an optimal threshold to classify real-time crash-prone traffic conditions?, Accident Analysis and Prevention, 117, pp.250-261, ISSN: 0001-4575. DOI: 10.1016/j.aap.2018.04.022.
• Yu, R, Quddus, MA, Wang, X, Yang, K (2018) Impact of data aggregation approaches on the relationships between operating speed and traffic safety, Accident Analysis and Prevention, 120, pp.304-310, ISSN: 0001-4575. DOI: 10.1016/j.aap.2018.06.007.
• Hussain, RS, Quddus, MA, Enoch, MP, Ruikar, K, Brien, NT, Gartside, DJ (2018) Time series analysis of local authority policy interventions on highway works durations, Proceedings of the ICE - Transport, ISSN: 0965-092X. DOI: 10.1680/jtran.18.00013.
• Sharath, MN, Velaga, NR, Quddus, MA(2018) A dynamic two-dimensional (D2D) weight-based map-matching algorithm, Transportation Research Part C: Emerging Technologies, pp.409-432, ISSN: 0968-090X. DOI: 10.1016/j.trc.2018.12.009.
• Imprialou, M and Quddus, MA(2017) Crash data quality for road safety research: current state and future directions, Accident Analysis and Prevention, ISSN: 0001-4575. DOI: 10.1016/j.aap.2017.02.022.
• Brooke, S, Ison, S, Quddus, M(2017) On-street parking search: A UK local authority perspective, The Journal of Transport and Land Use, 10(1), pp.13-26, DOI: 10.5198/jtlu.2016.600.
• Monsuur, F, Enoch, MP, Quddus, MA, Meek, S (2017) The impact of train and station types on perceived rail service quality, Transportation Research Record, pp.51-59, ISSN: 0361-1981. DOI: 10.3141/2648-06.
• Deligianni, SP, Quddus, MA, Morris, A, Anvuur, AM, Reed, S (2017) Analyzing and modelling drivers’ deceleration behaviour from normal driving, Transportation Research Record: Journal of the Transportation Research Board, No. 2663, pp.134-141, ISSN: 0361-1981. DOI: 10.3141/2663-17.
• Katrakazas, C, Quddus, MA, Chen, W-H (2017) A simulation study of predicting real-time conflict-prone traffic conditions, IEEE Transactions on Intelligent Transportation Systems, 19(10), pp.3196-3207, ISSN: 1558-0016. DOI: 10.1109/TITS.2017.2769158.
• Dale, S, Frost, MW, Ison, SG, Quddus, MA, Warren, P (2017) Evaluating the impact of a workplace parking levy on local traffic congestion: the case of Nottingham UK, Transport Policy, 59, pp.153-164, ISSN: 0967-070X. DOI: 10.1016/j.tranpol.2017.07.015.
• Imprialou, M, Quddus, MA, Pitfield, DE (2016) Predicting the safety impact of a speed limit increase using condition-based multivariate Poisson lognormal regression, Transportation Planning and Technology, 39(1), pp.3-23, ISSN: 1029-0354. DOI: 10.1080/03081060.2015.1108080.
• Imprialou, M, Quddus, MA, Pitfield, DE, Lord, D (2016) Re-visiting crash-speed relationships: a new perspective in crash modelling, Accident Analysis and Prevention, 86, pp.173-185, ISSN: 0001-4575. DOI: 10.1016/j.aap.2015.10.001.
• Imprialou, M, Quddus, MA, Pitfield, DE (2016) Multilevel logistic regression modelling for crash mapping in metropolitan areas, Transportation Research Record, pp.39-47, ISSN: 0361-1981. DOI: 10.3141/2514-05.
• Sanaullah, I, Quddus, MA, Enoch, MP (2016) Developing travel time estimation methods using sparse GPS data, Journal of Intelligent Transportation Systems: technology, planning, and operations, 20(6), pp.532-544, ISSN: 1547-2450. DOI: 10.1080/15472450.2016.1154764.
• Michalaki, P, Quddus, MA, Pitfield, DE, Huetson, A (2016) A time-series analysis of motorway collisions in England considering road infrastructure, socio-demographics, traffic and weather characteristics, Journal of Transport & Health, ISSN: 2214-1405. DOI: 10.1016/j.jth.2015.10.005.
• Michalaki, P, Quddus, M, Pitfield, D, Mageean, M, Huetson, A (2016) A Sensor-based System for Monitoring Hard-shoulder Incursions: Review of Technologies and Selection Criteria, MATEC Web of Conferences, 81, pp.02019-02019, DOI: 10.1051/matecconf/20168102019.
• (2015) Matthew memorial special issue (optimization) – Preface, Transportation Research Part C: Emerging Technologies, 55, pp.1-3, ISSN: 0968-090X. DOI: 10.1016/j.trc.2015.04.006.
• Hess, S, Quddus, M, Rieser-Schüssler, N, Daly, A (2015) Developing advanced route choice models for heavy goods vehicles using GPS data, Transportation Research Part E: Logistics and Transportation Review, 77, pp.29-44, ISSN: 1366-5545. DOI: 10.1016/j.tre.2015.01.010.
• Ristell, JAV, Quddus, MA, Enoch, MP, Wang, C, Hardy, P (2015) Quantifying the impacts of subsidy policies on home-to-school pupil travel by bus in England, Transportation, 42(1), pp.45-69, ISSN: 0049-4488. DOI: 10.1007/s11116-014-9525-6.
• Wang, C, Quddus, MA, Enoch, MP, Ryley, T, Davison, L (2015) Exploring the propensity to travel by demand responsive transport in the rural area of Lincolnshire in England, Case Studies on Transport Policy, 3(2), pp.129-136, ISSN: 2213-624X. DOI: 10.1016/j.cstp.2014.12.006.
• Quddus, MAand Washington, S (2015) Shortest path and vehicle trajectory aided map-matching for low frequency GPS data, Transportation Research Part C: Emerging Technologies, 55, pp.328-339, ISSN: 1879-2359. DOI: 10.1016/j.trc.2015.02.017.
• Michalaki, P, Quddus, MA, Pitfield, DE, Huetson, A (2015) Exploring the factors affecting motorway accident severity in England using the generalised ordered logistic regression model, Journal of Safety Research, 55, pp.89-97, ISSN: 0022-4375. DOI: 10.1016/j.jsr.2015.09.004.
• Katrakazas, C, Quddus, MA, Chen, W-H, Deka, L (2015) Real-time motion planning methods for autonomous on-road driving: state-of-the-art and future research directions, Transportation Research Part C: Emerging Technologies, 60, pp.416-442, ISSN: 0968-090X. DOI: 10.1016/j.trc.2015.09.011.
• Quddus, MA(2015) Effects of geodemographic profiles of drivers on their injury severity from traffic crashes using multilevel mixed-effects ordered logit model, Transportation Research Record: Journal of the Transportation Research Board, 2514, pp.149-157, ISSN: 0361-1981. DOI: 10.3141/2514-16. 

Undergraduate

• Statistical analysis in transport
• Statistical analysis in aviation
• Aviation safety

Postgraduate

• Aviation safety management

Current projects 

• Road safety analysis and reporting (Highways England)

Recently completed projects

• Safety Strategy for Highways England 
• Network performance and safety (Highways England)
• Develop a travel plan for the Loughborough Endowed School

I obtained a PhD from Imperial College London in 2006 where I worked as a Research Associate for five years on a number of research projects. I received an MEng degree in Civil Engineering from the National University of Singapore in 2001 and a BSc degree in Civil Engineering from BUET (Bangladesh University of Engineering and Technology) in 1998. I joined Loughborough University as a Lecturer in Transport Studies in 2006,  promoted to Senior Lecturer in 2010 and awarded a personal Chair in "Intelligent Transport Systems" in August 2013. 

The vision of future transport is increasingly based on the concept of Intelligent Mobility (IM) where the connected capabilities of partially and fully autonomous vehicles, road infrastructure and traffic management systems place people and goods at the heart of the transport system. New intelligent technologies could deliver a step change in safety and mobility but they bring many research challenges. With this in mind, I have been working with my Research Associates, PhD students and colleagues from other disciplines, universities (e.g. Imperial, Leeds, Bristol, Tongji) and industry (e.g. Highways England, AECOM, Renault) in the areas of motion planning and risk assessment of autonomous or semi-autonomous vehicles. 

My research projects have been primarily funded by the UK Engineering and Physical Sciences Research Council (EPSRC), Highways England, Department for Transport (UK) and the European Union (EU). I have an excellent track record in mentoring and supervising of 30 post-doctoral researchers and PhD students. So far, I has authored/co-authored over 100 journal articles, 120 conference papers, six book chapters and 20 technical reports that have accumulated a total of 7,800+ citations from researchers all around the world. I serve as an Associate Editor of a prestigious Journal,  Transportation Research Part C: Emerging Technologies and a member of TRB (Transportation Research Board, USA) committee on Safety Data, Analysis and Modelling. I am also a Visiting Professor of Tongji University, China.  

Professional affiliations

• Associate Editor, Transportation Research Part C: Emerging Technologies
• Fellow, Higher Education Academy (UK)
• Committee Member,  Safety Data Analysis and Modelling, Transportation Research Board, Washington DC, USA
• Member, Joint International Research Lab of Transportation Safety, Tongji University, China
• Visiting Professor, Tongji University, Shanghai, China

Awards

• University Enterprise Impact Award for the development of map-matching algorithms (2019)
• ABCE (Architecture, Building and Civil Engineering) Award for Enterprise Excellence (2019) for outstanding enterprise
• Best Conference Paper - Annual Conference of the Institute of Navigation (ION), California, USA. Paper title: Integrated positioning algorithms for transport telematics application.
• Research Award: ICEGG (Imperial College Engineering Geomatics Group) award from Imperial College London in recognition of research in the field of transport
• Golden Hello Award from Loughborough University for an outstanding candidate for the post of lectureship
• Research Scholarship (fully funded) from the National University of Singapore: to carry out a research-based Master degree in Transport Safety and GIS
• University Merit Scholarships (1994 - 1998) for securing top-10 places (out of 140 B.Sc. in Civil Engineering students): Bangladesh University of Engineering and Technology (BUET)
• Government Scholarships (1991) for obtaining more than 80% marks in the public examination at Year 12 (Higher Secondary School Certificate equivalent to A-level)

External activities

• Advisory Board Member, Accident Analysis and Prevention
• Advisory Board Member, Analytical Methods in Accident Research
• Advisory Board Member, Journal of Intelligent Transportation Systems
• Reviewing research proposals for various research councils including the National Science Foundation (NSF) of the USA; Engineering and Physical Sciences Research Council, UK; Economic and Social Research Council, UK; the His Majesty Research Trust Fund, Sultanate of Oman, National Research Councils of Finland, Canada and the Netherlands
• Executive Committee Member (January 2008 to January 2011, elected by the full members) of Universities' Transport Study Group (UTSG), UK
• Media coverage of research: The Engineer, British Medical Journal, Yahoo! UK & Ireland, Health-news.co.uk, Traffic engineering and control, BBC news, Evening Standard, Financial Times, Leicester Mercury, Traffic Technology Today

Key collaborators

My research and enterprise activities are conducted with a range of academic and stakeholder partners, including:

• Imperial College London
• Tongji University, China
• Central South University, China
• University of Leeds
• University of Bristol
• University of Central Florida
• AECOM
• Highways England
• Galliford Try
• Renault
• Bangladesh Road Research Lab (BRRL)