...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Urban Planning and Development >Exploring the Economic, Environmental, and Travel Implications of Changes in Parking Choices due to Driverless Vehicles: An Agent-Based Simulation Approach
【24h】

Exploring the Economic, Environmental, and Travel Implications of Changes in Parking Choices due to Driverless Vehicles: An Agent-Based Simulation Approach

机译：探索基于无人驾驶车辆的停车选择变化的经济，环境和旅行影响：基于代理的仿真方法

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

Fully driverless automated vehicles (AVs) could considerably alter the proximity value of parking, due to an AV's ability to drop passengers off at their destination, search for cheaper parking, and return to pick up their occupants when needed. This study estimates the potential impact of privately owned driverless vehicles on vehicle kilometers traveled (VKT), energy use, emissions, and parking revenues in the city of Seattle, Washington, from changes in parking decisions using an agent-based simulation model. Each AV is assumed to consider the cost to drive to each parking spot, the associated daily parking cost, and the parking availability at each location, and the AV ranks each choice in terms of economic cost. The simulation results indicate that at low penetration rates (5-25% AV penetration), AVs in downtown Seattle would travel an additional 5.6-6.4 km/day (3.5-4.0 mi/day) on average, and that, at high penetration rates (50-100% AV penetration), AVs would travel an additional 9.0-13.5 km/day (5.6-8.4 mi/day) on average. The results also suggest that as AV penetration rates increase, parking lot revenues decrease significantly and could likely decline to the point where operating a lot is unsustainable economically, if no parking-demand management policies are implemented. This could lead to changes in land use as the amount of parking needed in urban areas is reduced and cars move away from the downtown area for cheaper parking. This analysis provides an illustration of the first-order effects of AVs on the built environment and could help inform near- and long-term policy and infrastructure decisions during the transition to automation. (C) 2018 American Society of Civil Engineers.
机译：完全无人驾驶的自动驾驶汽车（AV）可能会极大地改变停车位的接近度，这是因为AV能够将乘客送至目的地，寻找便宜的停车位并在需要时返回接载乘客。这项研究使用基于代理的仿真模型，根据泊车决策的变化，估计了私有无人驾驶车辆对华盛顿州西雅图市的行驶公里数（VKT），能源使用，排放和停车收入的潜在影响。假定每个AV考虑到每个停车位的驾驶成本，相关的每日停车成本以及每个位置的停车可用性，并且AV根据经济成本对每个选择进行排名。模拟结果表明，在低渗透率（5-25％AV渗透率）下，西雅图市中心的AV会平均每天额外行驶5.6-6.4 km /天（3.5-4.0 mi / day），并且在高渗透率下（AV渗透率50-100％），AV每天平均要行驶9.0-13.5公里/天（5.6-8.4英里/天）。结果还表明，随着视音频渗透率的提高，如果没有实施停车需求管理政策，停车场的收入将显着下降，并且有可能下降到在经济上无法持续运营很多地步。这可能会导致土地用途的变化，因为城市地区所需的停车位减少了，汽车从市区移开以降低停车位。此分析提供了AV对建筑环境的一阶影响的说明，并有助于在过渡到自动化过程中为近期和长期的策略和基础架构决策提供信息。 （C）2018美国土木工程师学会。

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