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Multi-objective optimization of a single intersection
Transportation Planning and Technology ( IF 1.6 ) Pub Date : 2021-01-12 , DOI: 10.1080/03081060.2020.1868083
Aleksandar Jovanović 1 , Dušan Teodorović 2
Affiliation  

ABSTRACT

Algorithms for optimizing traffic operations at a single intersection consider mostly one objective function (often vehicle delays). Such an approach can lead to long pedestrian waiting times as well as reducing safety conditions at the intersection. In this paper, a multicriteria optimization approach to the single intersection traffic control problem is presented. The trade-off algorithm between vehicle and pedestrian delay, under a fixed time control model, is developed. The metaheuristic Bee Colony Optimization (BCO), inspired by bee behavior in nature, is incorporated in the proposed approach. To solve the multicriteria optimization problem an interactive algorithm is used. The proposed approach is tested on an appropriate numerical example. Results show that by worsening vehicle delays, pedestrian delays can be improved, particularly under phase plans with an exclusive pedestrian phase. Future research should consider the inclusion of the safety exposure of vehicles and pedestrians into the proposed methodology.



中文翻译:

单个路口的多目标优化

摘要

用于优化单个路口的交通运营的算法主要考虑一个目标函数(通常是车辆延误)。这种方法会导致较长的行人等候时间,并减少交叉路口的安全条件。本文提出了一种针对单路口交通控制问题的多准则优化方法。建立了在固定时间控制模型下车辆与行人延迟之间的权衡算法。受蜜蜂自然行为启发的超启发式蜂群优化算法(BCO)被纳入拟议的方法中。为了解决多准则优化问题,使用了交互式算法。在适当的数值示例上对提出的方法进行了测试。结果表明,通过增加车辆延误,行人延误可以得到改善,特别是在具有专有步行阶段的阶段计划下。未来的研究应考虑将车辆和行人的安全风险纳入拟议的方法中。

更新日期:2021-02-01
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