Abstract

For signal control intersection, the Phase-Movement-Combination (PMC) styles could directly impact the control performance of the signal scheme. Automated vehicles use mechatronics technology to drive autonomously and safely according to the predetermined lane trajectory, which caused the phase movement combination and Phase Combination (PC) schemes become more and more complicated. Therefore, this paper proposed a method to consider the extensive PMC styles by fractionalizing movement compatibility relationships, and used discrete mathematics to calculate overall Feasible Phase Combination (FPC) schemes according to the requirements of the signal phase. A corresponding optimal timing model was also established for FPC schemes by minimizing the average vehicle delay and maximizing the intersection capacity. Results were compared against the conventional PC schemes for a variety of demand scenarios. It was concluded that the proposed signal control optimization method was effective to optimize the intersection control scheme, depending on different demand scenarios.

Highlights

  • With the rapidly growing urban traffic demand, congestion and other traffic problems occur more and more frequently

  • Intersection signal control was determined by setting up different signals phases to make each conflict movement vehicle through the intersection at different time periods and to avoid vehicles meeting in an intersection collision zone

  • Because these schemes were more extensive than the conventional Phase Combination (PC) scheme (OS, DS, CS and RBS), the corresponding optimal timing model should be built for Feasible Phase Combination (FPC) schemes

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Summary

Introduction

With the rapidly growing urban traffic demand, congestion and other traffic problems occur more and more frequently. The RBS (Figure 1) is often used to generate PC scheme of signal intersection, which well-considered the PML (Feng et al 2015) The traffic flow of each intersection is stochastic, and the main movements are quite different between each other, and the current methods only considered two kinds of movement combination styles of phase, and cannot get the comprehensive PC schemes under automated vehicles environment. It is necessary to design a new optimization method of signal control scheme to match the random arrivals under automated vehicles environment In this concern, this paper fractionized three kinds of movement compatibility relations and fully considered the PMC, studied the PMC styles, used discrete mathematics to calculate overall FPC schemes.

CMC under automated vehicles environment s23s22s21
Signal PC scheme
Signal timing optimization model for the PMC scheme
Objective function
Performance evaluation
Case verification
Conclusions and further work
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