在混合交通环境下不同差异的异质旅行者旅行模式选择的研究
Yutong Shen1, Yuelong Wu2, Baozhen Yao2
1School of Transportation Science and Engineering, Beihang University, Beijing 100191, China.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
共享自动驾驶汽车 (SAV) 可以满足不同旅行者的需求和公司成本. 低收入人士更喜欢公共汽车和自动化程度较低的自动驾驶汽车,而高收入旅行者则选择更高的自动化选项,因为它们的时间价值更高.
科学领域:
- 运输工程 运输工程 运输工程
- 行为经济学是一种行为经济学.
- 计算机科学 计算机科学
背景情况:
- 自动驾驶汽车 (AV) 技术的进步使共享自动驾驶汽车 (SAV) 服务成为可能.
- 高昂的AV成本需要SAV模型来实现更广泛的采用和减少公司投资.
- 预计有不同自动化水平和传统运输方式的自动驾驶汽车将与传统运输方式并存.
研究的目的:
- 分析乘客模式选择,考虑不同的收入水平和车辆自动化.
- 模拟时间价值和支付意愿对旅行决策的影响.
- 开发SAV和其他运输选择的多式联运选择模型.
主要方法:
- 根据私人汽车所有权来定义高收入和低收入旅行者部分.
- 将时间价值和支付意愿的差异纳入实用最大化模型.
- 使用帝国竞争算法来解决多模式选择模型.
主要成果:
- 低收入旅行者更喜欢公共汽车和自动化程度较低的自动驾驶汽车.
- 高收入旅行者更喜欢自动化程度更高的自动驾驶汽车,这是因为它们的旅行时间价值更高.
- 该模型展示了基于收入和自动化水平的不同旅行模式选择.
结论:
- 具有不同自动化水平的SAV可以满足不同的旅行者群体.
- 了解旅客偏好对于优化SAV部署和服务提供至关重要.
- 经济因素对采用自动驾驶汽车技术产生重大影响.
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