| 考虑自动驾驶汽车的早高峰通勤决策 |
| Decision making of morning commute considering autonomous vehicle |
| 摘要点击 30 全文点击 0 投稿时间：2023-09-06 修订日期：2024-07-22 |
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| 中文关键词 自动驾驶；活动效用；瓶颈模型；混合出行；用户均衡 |
| 英文关键词 autonomous driving; activity utility; bottleneck model; mixed travel; user equilibrium |
| 基金项目 |
| 作者 | 单位 | 邮编 | | 戴庆 | 东北财经大学 | 116026 | | 张佳佳 | 大连海事大学 | 116026 | | 林正奎 | 大连海事大学 | |
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| 中文摘要 |
| 针对自动驾驶汽车和普通驾驶汽车共存情况下的早高峰通勤问题, 本文充分考虑两类通勤者通勤行为的异同, 基于活动方法和瓶颈模型构建了混合出行状态下的用户均衡出行模型, 并对用户均衡状态下个人出行净效用和系统总出行净效用的相关性质进行了分析. 结果表明, 用户均衡状态下, 自动驾驶通勤者在早高峰中间时段出发, 而普通驾驶通勤者在早高峰两端时段出发. 此外, 自动驾驶汽车对瓶颈处通行能力的提升系数与用户出行净效用和系统总出行净效用呈正相关. 自动驾驶汽车占比与普通驾驶通勤者出行净效用呈正相关; 然而, 受通行能力提升系数大小的影响, 自动驾驶通勤者人数占比对自动驾驶通勤者出行净效用和系统总出行净效用的影响呈现不同趋势, 当提升系数较大时呈正相关, 反之呈负相关. |
| 英文摘要 |
| This paper examines a morning commute problem involving both autonomous and ordinary vehicles. By considering the similarities and differences in commuting behavior between these two groups, a user equilibrium travel model is developed under mixed travel conditions based on both activity method and bottleneck model. Then, properties related user net utilities and system travel net utilities are analyzed under user equilibrium. The findings indicate that autonomous commuters tend to depart during the middle of morning peak, while ordinary commuters depart at both ends of peak period. Furthermore, capacity improvement coefficient of bottleneck positively affects both user and system travel net utilities. The proportion of autonomous vehicles is positively correlated with the net travel utility of ordinary commuters. However, its impact on their own net utility and system net utility varies depending on the capacity improvement coefficient: higher coefficients correlate positively, whereas lower coefficients correlate negatively. |
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