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基于交通公平性和成本分析的动态独占行人相位建模。

Modeling the Dynamic Exclusive Pedestrian Phase Based on Transportation Equity and Cost Analysis.

机构信息

School of Naval Architecture Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

出版信息

Int J Environ Res Public Health. 2022 Jul 4;19(13):8176. doi: 10.3390/ijerph19138176.

Abstract

The exclusive pedestrian phase () has proven to be an effective method of eliminating pedestrian-vehicle conflicts at signalized intersections. The existing setting conditions take traffic efficiency and safety as optimization goals, which may contribute to unfair interactions between vehicles and pedestrians. This study develops a multiobjective optimization framework to determine the setting criteria, with consideration for the tradeoff between transportation equity and cost. In transportation equity modeling and considering environmental conditions, the transportation equity index is proposed to quantify pedestrian-vehicle equity differences. In cost modeling, traffic safety and efficiency factors are converted into monetary values, and the pedestrian-vehicle interaction is introduced. To validate the proposed optimization framework, a video-based data collection is conducted on wet and dry environment conditions at the selected intersection. The parameters in the proposed model are calibrated based on the results of the video analysis. This study compares the performance of the multiobjective evolutionary algorithm based on decomposition (MOEA) and the nondominated sorting genetic algorithm II (NSGA-II) methods in building the sets of nondominated solutions. The optimization results show that the decrease in transportation equity will lead to an increase in cost. The obtained Pareto front approximations correspond to diverse signal timing patterns and achieve a balance between optimizing either objective to different extents. The sensitivity analysis reveals the application domains for the and the traditional two-way control phase () under different vehicular/pedestrian demand, yielding rate, and environment conditions. The control is more suitable at intersections with high pedestrian volumes and low yielding rates, especially in wet conditions. The results provide operational guidelines for decision-makers for properly selecting the pedestrian phase pattern at signalized intersections.

摘要

专用行人相位()已被证明是消除信号交叉口行人和机动车冲突的有效方法。现有的设置条件以交通效率和安全为优化目标,这可能导致机动车和行人之间的不公平互动。本研究开发了一个多目标优化框架,以确定设置标准,同时考虑交通公平性和成本之间的权衡。在交通公平性建模中,并考虑环境条件,提出了交通公平性指数来量化行人和机动车之间的公平性差异。在成本建模中,将交通安全和效率因素转化为货币价值,并引入行人和机动车的相互作用。为了验证所提出的优化框架,在选定的交叉口进行了基于视频的湿、干环境条件下的数据采集。根据视频分析的结果对模型中的参数进行校准。本研究比较了基于分解的多目标进化算法(MOEA)和非支配排序遗传算法 II (NSGA-II)方法在构建非支配解集方面的性能。优化结果表明,交通公平性的降低将导致成本的增加。获得的 Pareto 前沿近似对应于不同的信号配时模式,并在不同程度上实现了对任意目标的优化平衡。敏感性分析揭示了在不同的车辆/行人需求、通行率和环境条件下,和传统的双向控制相位()的应用领域。在行人流量大、通行率低的情况下,特别是在湿环境下,控制更为适用。研究结果为决策者提供了在信号交叉口正确选择行人相位模式的操作指南。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a0b/9266285/504abe85547a/ijerph-19-08176-g001.jpg

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