...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Transportation Research >Improved public transportation in rural areas with self-driving cars: A study on the operation of Swiss train lines
【24h】

Improved public transportation in rural areas with self-driving cars: A study on the operation of Swiss train lines

机译：利用自动驾驶汽车改善农村公共交通：瑞士列车线路运作研究

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Public transport lines, especially train lines, have historically played an important role as economic lifelines of rural areas. They are one of the most important factors contributing to economic prosperity as they provide access to mobility for all the inhabitants of these regions. Maintaining such rural public transport lines can be a challenge due to the low utilization inherent to rural areas. Today, with the emergence of fully self-driving cars, on-demand mobility schemes in which autonomous robotic taxis transport passengers, are becoming possible. In this work, we analyze if rural public transport lines with low utilization can be replaced with autonomous mobility-on-demand systems. More specifically, we compare the existing public transportation infrastructure to hypothetical mobility-on-demand systems both in terms of cost and service level. We perform our analysis, which focuses on the operational aspects, using a simulation approach in which unit-capacity robotic taxis are operated in a street network taking into account congestion effects and state-of-the-art control (dispatching and rebalancing) strategies. Our study considers the case of four rural train lines in Switzerland that operate at low utilization and cost coverage. We show that a unit-capacity mobility-on-demand service with self-driving cars reduces both travel times and operational cost in three out of four cases. In one case, even a service with human driven vehicles would provide higher service levels at lower cost. The results suggest that centrally coordinated mobility-on-demand schemes could be a very attractive option for rural areas.
机译：公共交通线，尤其是火车线，历史上发挥了重要作用，作为农村的经济生命线。它们是促进经济繁荣的最重要因素之一，因为它们提供了对这些地区所有居民的流动性。由于农村地区固有的利用率低，维护这种农村公共交通线可能是一个挑战。今天，随着全自动驾驶汽车的出现，自动机器人出租车运输乘客的按需移动计划正在成为可能。在这项工作中，我们分析了利用低利用率的农村公共交通线路，可以用自主移动的按需系统替换。更具体地说，我们将现有的公共交通基础设施与成本和服务水平方面的假设流动性为单位。我们执行我们的分析，该分析专注于运营方面，使用仿真方法，其中在街道网络中在街道网络中运营的街道网络，考虑到拥堵效果和最先进的控制（调度和重新平衡）策略。我们的研究考虑了瑞士四条农村火车线的案例，以低利用率和成本覆盖运营。我们表明，具有自动驾驶汽车的单位容量的按需服务，在四种情况下三种情况下减少了旅行时间和运营成本。在一种情况下，甚至与人类驱动车辆的服务甚至可以以更低的成本提供更高的服务水平。结果表明，集中协调的按需方案可能是农村地区非常有吸引力的选择。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号