Estimating Bus Passengers' Origin Destination Travel Route using Data Analytics on Wi-Fi and Bluetooth Signals

利用 Wi-Fi 和蓝牙信号的数据分析来估计公交车乘客的出发地、目的地旅行路线

• 批准号: 514854-2017
• 负责人: Raahemi, Bijan
• 金额: $ 1.82万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640126
• 关键词: Estimating; Bus; Passengers; Origin; Destination

Traffic congestion in major cities significantly contributes to delays for the public as well as for businesses that rely heavily on roadtransportation of goods and services. It is clearly understood that public transportation is the most import mode of travel to reducetraffic congestion and make efficient use of existing roads. As traffic congestion is increasing rapidly, public transportation isgetting more attention and major cities are investing more on public transportation. To encourage greater use of publictransportation and to switch from private vehicles, this mode of transportation must be well-designed, reliable and comfortable.Among different factors, transit passengers OriginDestination (OD) data is a fundamental prerequisite for the design and efficientoperation of any public transportation system. However, obtaining this data is problematic and expensive in general, especially inlarge cities with widespread public transport routes. The aim of this project is to develop a technology to anonymously collect andanalyse bus passengers OD data in real-time based on detection of passengers cell phones Wi-Fi and Bluetooth signals. Thedeveloped algorithms will result in increased efficiency of public transportation systems of cities and towns by efficiently using thebus capacities lowering operation costs of cities, shortening passengers wait time, and improving the ride comfort.

主要城市的交通拥堵严重导致公众以及严重依赖道路运输货物和服务的企业的延误。众所周知，公共交通是减少交通拥堵和有效利用现有道路的最重要的出行方式。随着交通拥堵的迅速加剧，公共交通越来越受到关注，各大城市也加大了对公共交通的投资。为了鼓励更多地使用公共交通并放弃私家车，这种交通方式必须设计良好、可靠且舒适。在众多因素中，过境乘客的出发地目的地 (OD) 数据是任何公共交通系统设计和高效运营的基本前提。然而，获取这些数据通常存在问题且成本高昂，尤其是在公共交通路线广泛的大城市。该项目的目的是开发一种技术，基于对乘客手机 Wi-Fi 和蓝牙信号的检测，实时匿名收集和分析公交车乘客 OD 数据。所开发的算法将通过有效利用公交车运力来提高城镇公共交通系统的效率，降低城市运营成本，缩短乘客等待时间，提高乘坐舒适度。