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D-Index
59
Citations
15638
World Ranking
2310
National Ranking
157

Overview

Mohammed A. Quddus is affiliated with Imperial College London in the United Kingdom and has contributed extensively to the field of Engineering, with a particular focus on areas related to transportation and safety. Their research spans various subfields including Safety, Risk, Reliability and Quality, Automotive Engineering, Transportation, Building and Construction, and Control and Systems Engineering.

Their work covers several key topics, among which are Traffic and Road Safety, Traffic Control and Management, Autonomous Vehicle Technology and Safety, Traffic Prediction and Management Techniques, Urban Transport and Accessibility, Transportation Planning and Optimization, and Human-Automation Interaction and Safety.

Quddus has published in a variety of academic venues, most notably Accident Analysis & Prevention, where they have 16 publications. Other frequent venues include Research in Transportation Business & Management, SSRN Electronic Journal, IEEE Transactions on Intelligent Transportation Systems, and Transportation Research Record Journal of the Transportation Research Board.

Recent papers authored or co-authored by Quddus demonstrate a focus on real-time traffic analysis, transport investment, and safety modeling. Examples include:

  • Predicting real-time traffic conflicts using deep learning, 2020, Accident Analysis & Prevention
  • Transport investment, railway accessibility and their dynamic impacts on regional economic growth, 2021, Research in Transportation Business & Management
  • Influence of familiarity with traffic regulations on delivery riders' e-bike crashes and helmet use: Two mediator ordered logit models, 2021, Accident Analysis & Prevention
  • Transfer learning for spatio-temporal transferability of real-time crash prediction models, 2021, Accident Analysis & Prevention
  • Modelling the impact of rail delays on passenger satisfaction, 2021, Transportation Research Part A Policy and Practice

Collaborative research is an integral part of their career, shown by frequent co-authors such as Nicolette Formosa, Mohit Kumar Singh, Xuesong Wang, Helai Huang, and Evita Papazikou.

Best Publications

  • Current map-matching algorithms for transport applications: State-of-the art and future research directions

    Mohammed A. Quddus;Washington Y. Ochieng;Robert B. Noland

  • The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives.

    Peter T. Savolainen;Fred L. Mannering;Dominique Lord;Mohammed Abdul Quddus

  • Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions

    Christos Katrakazas;Mohammed A. Quddus;Wen-Hua Chen;Lipika Deka

  • APPLYING THE RANDOM EFFECT NEGATIVE BINOMIAL MODEL TO EXAMINE TRAFFIC ACCIDENT OCCURRENCE AT SIGNALIZED INTERSECTIONS

    Hoong Chor Chin;Mohammed Abdul Quddus

  • A general map matching algorithm for transport telematics applications

    Mohammed A. Quddus;Washington Yotto Ochieng;Lin Zhao;Robert B. Noland

  • An analysis of motorcycle injury and vehicle damage severity using ordered probit models.

    Mohammed Abdul Quddus;Robert B. Noland;Hoong Chor Chin

  • Modelling area-wide count outcomes with spatial correlation and heterogeneity: An analysis of London crash data

    Mohammed Abdul Quddus

  • Evaluating the safety impact of connected and autonomous vehicles on motorways.

    Alkis Papadoulis;Mohammed A. Quddus;Marianna Imprialou

  • A spatially disaggregate analysis of road casualties in England.

    Robert B. Noland;Mohammed Abdul Quddus

  • Impact of traffic congestion on road accidents: a spatial analysis of the M25 motorway in England

    Christopher Wang;Mohammed Abdul Quddus;Stephen G. Ison

  • MAP-MATCHING IN COMPLEX URBAN ROAD NETWORKS

    Washington Y. Ochieng;Mohammed A. Quddus;Robert B. Noland

  • Road Traffic Congestion and Crash Severity: Econometric Analysis Using Ordered Response Models

    Mohammed A. Quddus;Chao Wang;Stephen G. Ison

  • Time series count data models: an empirical application to traffic accidents

    Mohammed Abdul Quddus

  • A High Accuracy Fuzzy Logic Based Map Matching Algorithm for Road Transport

    Mohammed A. Quddus;Robert B. Noland;Washington Yotto Ochieng

  • The effect of traffic and road characteristics on road safety: A review and future research direction

    Chao Wang;Mohammed Abdul Quddus;Stephen G. Ison

  • Mode choice of older and disabled people: a case study of shopping trips in London

    Jan-Dirk Schmocker;Mohammed Abdul Quddus;Robert B. Noland;Michael G. H. Bell

  • Developing an Enhanced Weight-Based Topological Map-Matching Algorithm for Intelligent Transport Systems

    Nagendra R. Velaga;Mohammed A. Quddus;Abigail L. Bristow

  • Shortest path and vehicle trajectory aided map-matching for low frequency GPS data

    Mohammed A. Quddus;Simon Washington

  • Shortest path and vehicle trajectory aided map-matching for low frequency GPS data

    Mohammaed Quddus;Simon Washington

  • Crash data quality for road safety research: Current state and future directions.

    Marianna Imprialou;Mohammed A. Quddus

  • Predicting real-time traffic conflicts using deep learning

    Nicolette Formosa;Mohammed Quddus;Stephen Ison;Mohamed Abdel-Aty

  • Predicting accident frequency at their severity levels and its application in site ranking using a two-stage mixed multivariate model

    Chao Wang;Mohammed Abdul Quddus;Stephen G. Ison

  • Congestion and safety: A spatial analysis of London

    Robert B. Noland Noland;Mohammed A. Quddus Quddus

Frequent Co-Authors

Robert B. Noland
Robert B. Noland Rutgers, The State University of New Jersey
Washington Y. Ochieng
Washington Y. Ochieng Imperial College London
Stephen Ison
Stephen Ison De Montfort University
Xuesong Wang
Xuesong Wang Shanghai Mental Health Center
Wen-Hua Chen
Wen-Hua Chen Loughborough University
Michael G.H. Bell
Michael G.H. Bell University of Sydney
David M Levinson
David M Levinson University of Sydney
John W. Polak
John W. Polak Imperial College London
Daniel J. Graham
Daniel J. Graham Imperial College London
Stephane Hess
Stephane Hess University of Leeds

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