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@inproceedings{1431836,
author = {Dang, Vinh Quang and Rudová, Hana},
address = {Bengaluru, India},
booktitle = {2018 IEEE Symposium Series on Computational Intelligence (SSCI)},
doi = {http://dx.doi.org/10.1109/SSCI.2018.8628731},
keywords = {Scheduling; Traffic control; Signal control; Real-time},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Bengaluru, India},
isbn = {978-1-5386-9276-9},
pages = {578-585},
publisher = {IEEE},
title = {Enhanced Scheduling for Real-Time Traffic Control},
url = {https://ieeexplore.ieee.org/abstract/document/8628731},
year = {2018}
}
TY - JOUR
ID - 1431836
AU - Dang, Vinh Quang - Rudová, Hana
PY - 2018
TI - Enhanced Scheduling for Real-Time Traffic Control
PB - IEEE
CY - Bengaluru, India
SN - 9781538692769
KW - Scheduling
KW - Traffic control
KW - Signal control
KW - Real-time
UR - https://ieeexplore.ieee.org/abstract/document/8628731
N2 - Traffic signal control in road networks is a practical problem which has been widely studied. In this paper, we present an approach for traffic signal control extending ideas of schedule-driven coordination in the system Surtrac. The traffic signal control problem of one intersection is modeled as a parallel machine scheduling problem based on aggregation of traffic flow data. The solution procedure for each parallel machine scheduling problem is based on a forward dynamic programming search. All connected intersections form a distributed system of communicating intersections. The objective is to construct a traffic control sequence for each intersection and minimize the total cumulative delay of all vehicles in the traffic network. Simulation results for a grid network from the SUMO simulator demonstrate the performance of the proposed approach in comparison to the Surtrac system solving the problem using single machine scheduling. The results show a significant improvement in the total cumulative delay given the increase of computational time which is acceptable in real-time processing.
ER -
DANG, Vinh Quang a Hana RUDOVÁ. Enhanced Scheduling for Real-Time Traffic Control. Online. In \textit{2018 IEEE Symposium Series on Computational Intelligence (SSCI)}. Bengaluru, India: IEEE, 2018. s.~578-585. ISBN~978-1-5386-9276-9. Dostupné z: https://dx.doi.org/10.1109/SSCI.2018.8628731. [citováno 2024-04-23]
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