An adaptive pre-signal setting to provide bus priority under a coordinated traffic-responsive network

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An adaptive pre-signal setting to provide bus priority under a coordinated traffic-responsive network
Title:
An adaptive pre-signal setting to provide bus priority under a coordinated traffic-responsive network
Journal Title:
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
Authors:
Publication Date:
24 December 2020
Citation:
Y. Zhang, "An adaptive pre-signal setting to provide bus priority under a coordinated traffic-responsive network," 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece, 2020, pp. 1-6, doi: 10.1109/ITSC45102.2020.9294380.
Abstract:
The transits constitute the traffic skeleton of the city. With the installation of the high-tech sensors and the emergence of the high-speed communication, interest to grant bus priority via traffic signals grows rapidly during recent years. Pre-signal is an additional traffic signal located upstream of the main signal, which is used to discontinue the private cars and accordingly allow buses jumping the car queue. Compared with the traditional dedicated bus lane through the whole link, the pre-signal can provide bus priority meanwhile minimizing the negative impacts on car traffic. In this paper, we propose an adaptive signal strategy for a traffic network by adjusting the pre-signal as well as the main signal in order to minimize the total passenger delay. A macroscopic model based on cell transmission model is developed, where the link is partitioned into the car cell, the bus cell and the mixed cell. The merging and the diverging of the car flow and the bus flow are elaborated modeled for each type of the cell. With the aim to obtain the signal setting in real time, the harmony search algorithm is adopted to solve the optimization problem. Finally, the case studies illustrate the efficacy of the proposed strategy.
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Funding Info:
This research is supported by the Institute for Infocomm Research (I2R), A*STAR. Grant number is not applicable.
Description:
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ISBN:
978-1-7281-4149-7
978-1-7281-4150-3
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