Abstract
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.
Highlights
In modern society, emergency events, such as natural disasters, accident disasters, public health incidents, and social security incidents occur frequently and bring huge losses to people’s lives and property security
Erefore, this paper focuses on the optimization model method to study the control strategy of emergency vehicle (EV) signal transitioning from EV signal preemption (EVSP) back to normal operation
Control strategy of EV signal transitioning from EVSP back to normal signal timing scheme was discussed in this paper
Summary
Emergency events, such as natural disasters, accident disasters, public health incidents, and social security incidents occur frequently and bring huge losses to people’s lives and property security. To determine how to choose the best coordinated recovery strategy at the end of signal preemption so as to minimize the interference to normal signal operation, Yun et al [26] employed hardware-inthe-loop simulation to study signal preemption problem and obtained the evaluation results of various EV preemption strategies for EVs arriving in a single way in coordinated traffic signal system Both of them mainly focused on analyzing the effect of various commonly used transition strategies, and effective signal preemption strategies were not put forward. We limit the scope of this paper to signal transition strategy from the EVSP back to normal operation, and the strategy from normal operation to EVSP will not be discussed further in this paper In support of this goal, the research will seek to achieve the following objectives: (1) develop a new transition method based on a multi-objective optimization model, (2) design a solving algorithm for the presented optimization model, and (3) carry out simulation calculation and verify the efficiency of the proposed signal transition strategy.
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