Control strategy of signal transition after emergency vehicle signal preemption
type: Item
instance of: scholarly article
title: Control strategy of signal transition after emergency vehicle signal preemption
zbMATH Open document ID: 1457.94045
DOI: 10.1155/2020/1382415
author: Linzhong Liu
author: Na Wang
author: Haibo Mu
author: Yubo Song
published in: Discrete Dynamics in Nature and Society
publication date: 2020-07-21T00:00:00Z
review text: Summary: Emergency vehicle (EV) plays an important role in evacuations or rescues when emergencies occur. To insure that an EV can transfer people in danger to emergency shelters or medical assistance organizations as soon as possible, EV signal preemption (EVSP) strategy is usually adopted. After EV has passed through the intersection, traffic signal has to transfer back to normal signal timing scheme. This paper focuses on the control strategy of EV signal transitioning from EVSP back to normal operation. Considering both efficiency and fairness, the maximum vehicles passing through in per unit time during the transition period and the minimum difference between the maximum and the minimum queue length after transition are selected as objectives, and a multi-objective optimization model is presented. A nondominated sorting genetic algorithm II (NSGA-II) is designed to solve the optimization model and unique encoding and decoding methods are presented. The established model and designed algorithm are verified and the control effect is analyzed. Simulation results indicate that by adopting the control strategy obtained by the presented model, the number of vehicles passing through in per unit time during the transition period is increased and the difference of vehicle length in different directions is reduced significantly, from which we can conclude that the control method proposed in this paper has good performance.
Mathematics Subject Classification ID: 94A12
zbMATH DE Number: 7223625
zbMATH Keywords: multi-objective optimization model
zbMATH Keywords: EV signal preemption strategy
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2020/1382415
OpenAlex ID: W3000797606
cites work: Biogeography-Based Optimization: Algorithms and Applications
description: scientific article; zbMATH DE number 7223625