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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. 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.
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