模拟自动驾驶汽车 (AV) 对运输网络可访问性的影响
Hamid Mirzahossein1, Mahdis Mashhadloo2
1Department of Civil - Transportation Planning, Faculty of Technical and Engineering, Imam Khomeini International University (IKIU), Qazvin, Iran. mirzahossein@eng.ikiu.ac.ir.
Scientific reports
|April 23, 2024
概括
自动驾驶汽车 (AV) 通过增加网络容量,显著提高了交通的可访问性. 虽然更高的AV百分比提高了整体可访问性,但容量调整会对用户平衡和系统最佳结果产生不同的影响.
科学领域:
- 运输工程 运输工程
- 交通流理论的流量理论.
- 网络优化 网络优化
背景情况:
- 旅行成本上升和安全问题需要创新的运输解决方案.
- 提高交通便利性是专家们的一个关键目标,而旅行时间是关键的限制.
- 自动驾驶汽车 (AV) 具有减轻可访问性限制的潜力.
研究的目的:
- 模拟自动驾驶汽车 (AV) 对交通网络可访问性的影响.
- 分析基于用户平衡 (UE) 和系统最佳 (SO) 结果的系统优化.
- 评估不同AV百分比和网络容量调整对可访问性的影响.
主要方法:
- 使用赫恩和苏福尔斯网络进行数值分析.
- 为混合的AV/非AV流量开发混合启发式分配算法.
- 评估了三个场景,其中0-100%的AV存在,包括恒定和调整的网络容量.
主要成果:
- 增加AV的存在持续改善了所有场景和网络的网络可访问性.
- 经过调整的网络容量 (第二和第三种) 的情景显示,可访问性比常量容量 (第一种) 更大.
- 虽然在经容量调整的场景中,UE和SO下降,但整体流量和可访问性得到改善.
结论:
- 在AV集成,网络容量和增强的可访问性之间存在积极的相关性.
- 自动驾驶汽车有潜力优化交通网络并改善整体旅行可访问性.
- 由于AVS产生的容量调整会影响流量动态和优化结果.
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