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

主要城市的交通拥堵极大地造成了公众以及严重依赖公路运输货物和服务的企业的延误。人们清楚地认识到，公共交通是减少交通拥堵和有效利用现有道路最重要的出行方式。随着交通拥堵的加剧，公共交通受到越来越多的关注，各大城市都在加大对公共交通的投资。为了鼓励更多人使用公共交通工具，并从私人车辆转用，这种交通工具必须设计良好、可靠和舒适。在不同的因素中，过境乘客目的地(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，一般来说，获取这些数据是有问题的，而且成本高昂，特别是在拥有广泛公共交通路线的大城市。该项目的目的是开发一种基于对乘客手机、Wi-Fi和蓝牙信号的检测来匿名实时收集和分析公交车乘客OD数据的技术。所开发的算法将通过有效利用公共汽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，改善乘坐舒适性。

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.