Title :
A real-time bus arrival prediction method based on energy-efficient cell-tower positioning
Author :
Yidan Fan ; Kun Niu ; Nanjie Deng
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
It is one of the most important research problems in the field of smart buses to predict real-time and accurate bus arrival time. This paper provides a new bus arrival time prediction algorithm based on dynamic adjustment of bus speed in different bus route sections. The location of bus can be traced through the sequence of switched base stations by means of COO technology. Bus driving database is set up with previous bus driving information of each bus route sections divided by the base station switching nodes. The database is automatically updated by online data of the average speed of bus route sections. The system is developed with technologies like Java EE HeidiSQL, and Android mobile development, and is tested on the Route 387 of Beijing Bus. The results show that the system has good performance.
Keywords :
Global Positioning System; cellular radio; energy conservation; intelligent transportation systems; mobile computing; public transport; real-time systems; vehicle routing; Android mobile development; Beijing Bus; COO technology; Java EE HeidiSQL; base station switching nodes; bus arrival time prediction algorithm; bus driving database; bus driving information; bus location; bus route sections; bus speed dynamic adjustment; cell-of-origin technology; cellular network; energy-efficient cell-tower positioning; real-time bus arrival prediction method; route 387; smart buses; Accuracy; Energy efficiency; GSM; Predictive models; Smart phones; Switches; Base station; Bus arrival time prediction; Cellular network;
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2014 IEEE 3rd International Conference on
Print_ISBN :
978-1-4799-4720-1
DOI :
10.1109/CCIS.2014.7175827
