A Geo-Aware Taxi Carrying Management System by Using Location Based Services and Zone Queuing Techniques on Internet of Things

Taxi plays a crucial role in the transportation system because of the characteristic that can be hailed conveniently. Most of the taxi drivers obtain passengers by hunting on the road or waiting in a fixed taxi queuing point; however these methods have poor performance, high vacancy rate, and severa...

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Bibliographic Details
Published in:Mobile information systems 2016-01, Vol.2016 (2016), p.1-10
Main Authors: Hwang, Shiow-Fen, Wang, Shr-Chen, Nguyen, Duc-Binh, Dow, Chyi-Ren, Tsai, Ming Fong
Format: Article
Language:English
Subjects:
Computer simulation
Drivers
Hunting
Internet of Things
Location based services
Management
Passengers
Path planning
Pollution abatement
Queues
Queuing
Taxicabs
Traffic models
Transportation systems
Vacancies
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Summary:Taxi plays a crucial role in the transportation system because of the characteristic that can be hailed conveniently. Most of the taxi drivers obtain passengers by hunting on the road or waiting in a fixed taxi queuing point; however these methods have poor performance, high vacancy rate, and several critical problems such as air pollution and foul up traffic. This study proposed a taxi carrying management system by using location based services and zone queuing techniques on Internet of things. The proposed system allows drivers to both hunt on the road and wait in a queuing zone. A queuing table is used in the control center and neighbor tables are used in RSUs for zone queuing establishment. Joining and leaving mechanisms are developed for zone queuing management. To enhance service efficiency and quality, we present a scheme to prevent the ping-pong effect which is based on the location based services, a hunting rate calculation scheme, and a path planning service for taxi drivers according to the history carrying record. PRISM is used to simulate the proposed system, and the results indicated that our scheme outperforms the waiting and hunting models in terms of number of customers, vacancy rate, and profit.
ISSN:1574-017X
1875-905X
DOI:10.1155/2016/9817374