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International Journal of Distributed Sensor Networks
Volume 2012 (2012), Article ID 451504, 8 pages
Research Article

Public-Transportation-Assisted Data Delivery Scheme in Vehicular Delay Tolerant Networks

1Yunnan Key Laboratory of Computer Technology Applications, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
2School of Foreign Language, Southwest University for Nationalities, Chengdu, Sichuan 610041, China

Received 10 October 2012; Accepted 12 November 2012

Academic Editor: Haigang Gong

Copyright © 2012 Yong Feng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


As an important component of transportation system, public transportation accounts for a considerable proportion in the whole traffic flow. The public transportation vehicles can be categorized into two categories as follows: one with determinate trajectories and schedules such as bus, tramway, and light rail; the other with flexible and variable running paths, such as taxis. In this paper, we firstly present a destination-gathering-based driving path prediction method for taxis, which can make taxis’ driving paths prescient in the initial stage of carrying passengers every time. Compared with ordinary vehicles, public transportation vehicles have such features as long time running on roads and no privacy-protection need, and thus their trajectories can be opened. Through utilizing the features above, we propose a novel public-transportation-assisted data delivery scheme (PTDD) used to improve the performance of data delivery of Vehicular Delay Tolerant Networks (VDTNs). Simulation results based on a real map demonstrate the effectiveness of the proposed scheme.