TRC pre-signal.pdf (2.41 MB)

Adaptive control algorithm to provide bus priority with a pre-signal

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journal contribution
posted on 28.11.2019, 09:53 by Haitao He, S Ilgin Guler, Monica Menendez
In urban areas, where road space is limited, it is important to provide efficient public and private transportation systems to maximize person throughput, for example from a signalized intersection. To this end, this research looks at providing bus priority using a dedicated bus lane which is terminated upstream of the intersection, and placing an additional signal at this location, called a pre-signal. Although pre-signals are already implemented in some countries (e.g. UK, Denmark, and Switzerland), an adaptive control algorithm which responds to varying traffic demands has not yet been proposed and analyzed in the literature. This research aims to fill that gap by developing an adaptive control algorithm for pre-signals tailored to real-time private and public transportation demands. The necessary infrastructure to operate an adaptive pre-signal is established, and guidelines for implementation are provided. The relevant parameters regarding the boundary conditions for the adaptive algorithm are first determined, and then quantified for a typical case using a micro-simulation model. It is demonstrated with case studies that, under all considered scenarios, implementing a pre-signal with the proposed adaptive control algorithm will result in the least average person delay at the intersection. The algorithm is expected to function well with a wide range of car demands, bus frequencies, and bus passenger occupancies. Moreover, the algorithm is robust to errors in these input values, so exact information is not required.

Funding

Swiss National Science Foundation (SNSF) under the project name SignBus, Contract 205121_150180

History

School

  • Architecture, Building and Civil Engineering

Published in

Transportation Research Part C: Emerging Technologies

Volume

64

Pages

28 - 44

Publisher

Elsevier BV

Version

AM (Accepted Manuscript)

Rights holder

© Elsevier Ltd

Publisher statement

This paper was accepted for publication in the journal Transportation Research Part C: Emerging Technologies and the definitive published version is available at https://doi.org/10.1016/j.trc.2016.01.009.

Acceptance date

02/01/2016

Publication date

2016-02-10

Copyright date

2016

ISSN

0968-090X

Language

en

Depositor

Dr Haitao He. Deposit date: 27 November 2019

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