Imperial College London
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Dr Rajesh Krishnan

Faculty of Engineering, Department of Civil and Environmental Engineering

Honorary Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 6111rajesh.k Website

 
 
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Location

 

618Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Li:2024:10.1080/15472450.2022.2129021,
author = {Li, T and Guo, F and Krishnan, R and Sivakumar, A},
doi = {10.1080/15472450.2022.2129021},
journal = {Journal of Intelligent Transportation Systems},
pages = {252--266},
title = {An analysis of the value of optimal routing and signal timing control strategy with connected autonomous vehicles},
url = {http://dx.doi.org/10.1080/15472450.2022.2129021},
volume = {28},
year = {2024}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - With the emergence of connected and automated technologies, Connected Autonomous Vehicles (CAVs) are able to communicate and interact with other vehicles and signal controllers. Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communications open up an opportunity to improve routing and signal timing efficiency with additional information from CAVs, such as prior travel time and signal green time. Most of the existing research on routing and signal timing for Human Driven Vehicles (HDVs) has to face the fact that human drivers only have partial knowledge about travel costs and traffic status on the road network, which typically reduces the system efficiency. In this paper, the impacts of additional information from CAVs on routing and signal timing efficiency in terms of total travel time have been investigated. An Optimal Routing and Signal Timing (ORST) control strategy for CAVs has been proposed and compared with four existing routing and signal timing strategies where drivers have different levels of information. The results of the simulation demonstrate that with additional information from CAVs, ORST can reduce about 49% of the total travel time compared with Stochastic User Equilibrium (SUE) and about 10% of the total travel time compared with User Equilibrium (UE).
AU  - Li,T
AU  - Guo,F
AU  - Krishnan,R
AU  - Sivakumar,A
DO  - 10.1080/15472450.2022.2129021
EP  - 266
PY  - 2024///
SN  - 1547-2450
SP  - 252
TI  - An analysis of the value of optimal routing and signal timing control strategy with connected autonomous vehicles
T2  - Journal of Intelligent Transportation Systems
UR  - http://dx.doi.org/10.1080/15472450.2022.2129021
UR  - https://www.tandfonline.com/doi/full/10.1080/15472450.2022.2129021
UR  - http://hdl.handle.net/10044/1/99960
VL  - 28
ER  -
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