Reference
R. van Kooten, P. Imhof, K. Brummelhuis, M. van Pampus, A. Jamshidnejad, and B.
De Schutter, "ART-UTC: An adaptive real-time urban traffic control strategy,"
Proceedings of the 2017 IEEE 20th International Conference on
Intelligent Transportation Systems (IEEE ITSC 2017), Yokohama, Japan,
pp. 1547-1552, Oct. 2017.
Abstract
A novel signal control strategy for urban traffic networks, called ART-UTC (the
abbreviated form of "Adaptive Real-Time Urban Traffic Control") is introduced.
We propose an efficient algorithm for ART-UTC to determine the green priority
of different rights-of-way at each intersection. The proposed algorithm takes
into account the queue length on each link, the waiting time of the first
vehicle in the queue, and the incoming traffic flow to the link. We also
propose a law to determine the green times of each traffic light based on the
queue length on the link that is controlled by that traffic light. An advantage
of ART-UTC is that due to the simple computations involved, it can be used for
real-time urban traffic control. To evaluate ART-UTC, two different urban
traffic networks are simulated within the urban traffic simulator SUMO. The
performance of ART-UTC is compared to the performance of a fixed-time traffic
controller based on Webster's formulas and a vehicle-actuated traffic
controller. The results show that by using ART-UTC, the total travel time of
the vehicles, the average queue length on the links in urban traffic networks,
and the average waiting time of the first vehicles in the queues on the links
of the traffic networks are reduced significantly in the majority of the cases
compared with the fixed-time and the vehicle-actuated controllers.
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BibTeX
@inproceedings{vanImh:17-020,
author = {van Kooten, Rob and Imhof, Pieter and Brummelhuis, Karst and
van Pampus, Maurits and Jamshidnejad, Anahita and De Schutter,
Bart},
title = {{ART-UTC}: {An} Adaptive Real-Time Urban Traffic Control
Strategy},
booktitle = {Proceedings of the 2017 IEEE 20th International Conference on
Intelligent Transportation Systems (IEEE ITSC 2017)},
address = {Yokohama, Japan},
pages = {1547--1552},
month = oct,
year = {2017}
}