Imperial College London

ProfessorMohammedQuddus

Faculty of EngineeringDepartment of Civil and Environmental Engineering

Chair in Intelligent Transport Systems
 
 
 
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Contact

 

+44 (0)20 7594 6121m.quddus Website

 
 
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Assistant

 

Ms Maya Mistry +44 (0)20 7594 6100

 
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Location

 

308Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Yang:2022:10.1016/j.aap.2022.106848,
author = {Yang, K and Quddus, M and Antoniou, C},
doi = {10.1016/j.aap.2022.106848},
journal = {ACCIDENT ANALYSIS AND PREVENTION},
title = {Developing a new real-time traffic safety management framework for urban expressways utilizing reinforcement learning tree},
url = {http://dx.doi.org/10.1016/j.aap.2022.106848},
volume = {178},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Yang,K
AU - Quddus,M
AU - Antoniou,C
DO - 10.1016/j.aap.2022.106848
PY - 2022///
SN - 0001-4575
TI - Developing a new real-time traffic safety management framework for urban expressways utilizing reinforcement learning tree
T2 - ACCIDENT ANALYSIS AND PREVENTION
UR - http://dx.doi.org/10.1016/j.aap.2022.106848
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000876429000007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 178
ER -