使用真实行程数据来确定服务员式自主移动服务的最低城市车队
Antonio Pagliaroli1, Silvia Strada2, Simone Scevaroli2
1Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133, Milano, Italy. antonio.pagliaroli@polimi.it.
Scientific reports
|September 25, 2025
概括
一个新的服务员式自主移动按需 (AMoD) 服务可以显著减少城市汽车的数量. 这个系统只需要2300辆共享的自动驾驶汽车才能到达米兰.
科学领域:
- 城市规划和交通系统分析.
- 自动驾驶汽车的部署策略.
- 可持续的移动解决方案.
背景情况:
- 全球超过15亿辆私人汽车导致城市拥堵,土地使用和排放.
- 完全无人驾驶的机器人出租车队在欧洲大规模部署时面临监管,成本和技术障碍.
- 需要一种中间解决方案来弥合私人汽车所有权和完全自动驾驶的移动性.
研究的目的:
- 为了评估一个服务员式的自主移动按需 (AMoD) 服务的可行性.
- 在特定的运营约束下,为此类服务量化所需的机队规模.
- 评估其在减少私人汽车依赖和优化城市空间方面的潜力.
主要方法:
- 开发一个集成车辆分配,再平衡和充电策略的动态模拟器.
- 复制一周的真实私家车旅行数据,来自米兰的28369辆汽车.
- 模拟服务质量限制的服务员AMOD服务 (20分钟的最大等待时间, <2%的未满足请求).
主要成果:
- 仅需要2300辆共享自动驾驶汽车,比目前的私人车队减少了12倍.
- 这与传统的自由浮动汽车共享相比,显著提高了效率,这将需要7750辆汽车.
- 该模型在城市环境中证明了可行性,并结合了真实旅行数据和操作启发式.
结论:
- 车 AMoD 为实现完全自动驾驶的交通提供了一个实际的中间步骤.
- 它可以使家庭减少汽车所有权,释放城市路边空间,并降低排放.
- 该服务保留了个人的驾驶体验,同时为未来的自动驾驶运输铺平了道路.
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