首页> 外文OA文献 >Bus passenger origin-destination estimation and travel behavior using automated data collection systems in London, UK
【2h】

Bus passenger origin-destination estimation and travel behavior using automated data collection systems in London, UK

机译:英国伦敦使用自动数据采集系统的公交客运始发地 - 目的地估算和旅行行为

摘要

This research explores the application of archived data from Automatic Data Collection Systems (ADCS) to transportation planning with a focus on bus passenger Origin-Destination (OD) inferences at the bus-route level and on travel behavior, using London as an example. This research demonstrates the feasibility and ease of applying the trip-chaining method to infer bus passengers' boarding and alighting locations, and validates the results by comparing them with the Bus Passenger Origin and Destination (BODS) survey data in London. With the inferred OD matrices, the variations of weekday and weekend bus route OD patterns over a two-week period are examined for planning purposes. Given these variations, reliance on ADCS can provide transit planners with more comprehensive, reliable and correct information for service planning than traditional manual surveys. Moreover, while interchange conditions and performance are considered important inputs for public transit planning, collecting such data has not been easy. Based on the inferred OD matrices and the Automatic Vehicle Location (AVL) data, alighting times for bus passengers can also be estimated. As a result, bus journey stages can easily be linked to form complete journeys based on the difference between the subsequent trip's boarding time and the previous trip's alighting time for each bus passenger. By comparing the interchange time and the connecting bus route's headway, this research also provides a way to evaluate connecting bus services and bus passengers' interchange patterns. Finally, this research can be expanded to the full bus network and other travel modes, opening the door to developing more comprehensive data bases for use in intermodal network planning.
机译:这项研究以伦敦为例,探讨了自动数据收集系统(ADCS)中的存档数据在交通运输规划中的应用,重点是公共汽车路线一级的公共汽车乘客始发地(OD)推断以及出行行为。这项研究证明了应用旅行链方法推断公共汽车乘客的登机和下车地点的可行性和简便性,并通过将其与伦敦的公共汽车乘客始发地和目的地(BODS)调查数据进行比较来验证结果。使用推断的OD矩阵,出于计划目的,检查了两周内工作日和周末公交路线OD模式的变化。考虑到这些变化,与传统的人工调查相比,对ADCS的依赖可以为运输计划者提供更全面,可靠和正确的服务计划信息。此外,尽管互换条件和性能被认为是公共交通规划的重要输入,但收集此类数据并不容易。基于推断的OD矩阵和自动车辆位置(AVL)数据,还可以估算出公共汽车乘客的下车时间。结果,可以基于每个乘客的下一次旅程的登机时间和上一次旅程的下车时间之间的差异,轻松地将巴士旅程阶段链接起来,以形成完整的旅程。通过比较换乘时间和转乘公交路线的进展,本研究还提供了一种评估转乘公交服务和公交乘客转乘方式的方法。最后,这项研究可以扩展到完整的公交车网络和其他出行方式,这为开发用于联运网络规划的更全面的数据库打开了大门。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

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