Description

Abstract :

                  Offering the services of real-time tracking andarrival time prediction is a common welfare for bus riders andtransit agencies, especially in urban environments. On the downside, the traditional GPS-based solutions work poorly in urbanareas due to urban canyons, while the location systems based oncellular signal also suffer from inherent limitations. In this paper,we present a powerful tool named Signal Voronoi Diagram (SVD)to partition the radio-frequency (RF) signal space of WiFi AccessPoints (APs), distributed where a bus travels, into Signal Cells,and then into fine-grained Signal Tiles, tackling the problemof noisy received signal strength (RSS) readings and possible APdynamics. On top of SVD, we present a novel framework so-calledWiLocator, to track and predict the arrival time of an urbanbus based on the surrounding WiFi information collected bythe commodity off-the-shelf (COTS) smartphones of bus riders,the mobility constraint of a bus and the temporal consistencyof travel time of buses on the overlapped road segments. Wealso show the WiLocator’s power of generating an accurate andreal-time traffic map with the predicted travel time on each roadsegment. We implement the prototype of WiLocator and conductthe in-situ experiment to demonstrate its accuracy.

                 The Raspberry Pi is a credit card sized single computer or SoC uses ARM1176JZF-S core. SoC, or System on a Chip, is a method of placing all necessary electronics for running a computer on a single chip. Raspberry Pi needs an Operating system to start up. In the aim of cost reduction, the Raspberry Pi omits any on-board non-volatile memory used to store the boot loaders, Linux Kernels and file systems as seen in more traditional embedded systems. Rather, a SD/MMC card slot is provided for this purpose. After boot load , as per the application program Raspberry Pi will get execute.

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