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Mohammed Quddus

Imperial College London

South Kensington Campus

Exhibition Road

London, SW7 2AZ

United Kingdom

SCHOLARLY PAPERS

5

DOWNLOADS

376

TOTAL CITATIONS

0

Scholarly Papers (5)

1.

Developing a New Integrated Advanced Driver Assistance System in a Connected Vehicle Environment

Number of pages: 22 Posted: 09 May 2023
Hong Kong Polytechnic University, Chang’an University, University of Glasgow, Chang’an University, Hong Kong Polytechnic University - Department of Civil and Environmental Engineering, Imperial College London and Central South University
Downloads 206 (369,861)

Abstract:

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Connected vehicles, Advanced driver assistance systems, system integration, Field test, Driving performance

2.

Developing a New Omni-Directional Collision Warning System for Intelligent Vehicles

Number of pages: 36 Posted: 01 Dec 2022
Hong Kong Polytechnic University, Chang’an University, University of Glasgow, Chang’an University, Hong Kong Polytechnic University - Department of Civil and Environmental Engineering, Imperial College London and Central South University
Downloads 69 (883,195)

Abstract:

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Connected vehicles, Omni-directional collision warning system, Driving performances, Field tests

3.

Impacts of the Amount of Information and the Display Format on Driving Behaviors in a Connected Vehicle Environment

Number of pages: 18 Posted: 18 May 2023
Hong Kong Polytechnic University, Chang’an University, University of Glasgow, Chang’an University, Hong Kong Polytechnic University - Department of Civil and Environmental Engineering, Imperial College London, Central South University and Chang'an University - School of Information Engineering
Downloads 52 (1,041,696)

Abstract:

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Connected Vehicles, Advanced Driver Assistance System, Human-Machine Interface, Field Test, Driving Performance

4.

Women's Emotional and Behavioral Reactions to Public Transport Conditions: Observed Versus Reported Experiences from Dhaka

Number of pages: 37 Posted: 20 Jan 2026
Islamic University of Technology, Islamic University of Technology, Islamic University of Technology and Imperial College London
Downloads 37 (1,249,711)

Abstract:

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Gendered mobility, Emotional responses, Behavioral adaptation, Public transport, Traffic congestion, Driving behavior

5.

Predicting injury severity using causal graph attention network (GAT) in a motor vehicle crash

Number of pages: 55 Posted: 29 May 2026
affiliation not provided to SSRN, Imperial College London, Imperial College London and Imperial College London
Downloads 12 (1,541,665)

Abstract:

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Crash injury severity, Causality, Prediction