Crowdsensing-Based Consensus Incident Report for Road Traffic Acquisition

Real-time road traffic information brings great convenience for drivers. Various road information acquisitions are enabled by recent mobile crowdsensing paradigm. However, the accuracy of information can not be guaranteed, and appropriate incentive mechanism is still unavailable. In this paper, we s...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2018-08, Vol.19 (8), p.2536-2547
Main Authors: Wang, Xiong, Zhang, Jinbei, Tian, Xiaohua, Gan, Xiaoying, Guan, Yunfeng, Wang, Xinbing
Format: Article
Language:English
Subjects:
Computer simulation
consensus traffic report
Crowdsensing
Drivers
incentive
inference
Inference algorithms
Mobile communication
Reliability
Reliability analysis
Reliability aspects
Roads
Sensors
Smart phones
Traffic
Traffic information
Wireless sensor networks
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Summary:Real-time road traffic information brings great convenience for drivers. Various road information acquisitions are enabled by recent mobile crowdsensing paradigm. However, the accuracy of information can not be guaranteed, and appropriate incentive mechanism is still unavailable. In this paper, we study the problem of extracting the actual road traffic information according to the reports from an amount of unknown contributors. To obtain the accurate road traffic result with high probability, we establish a reputation system to evaluate the reliability of each contributor, which takes both location and time deviation factors into account. We also design an incentive mechanism to elicit the truthful report of each qualified contributor. Furthermore, we improve the existing answer inference methods and derive the correct result in an efficient way. Extensive simulations are carried out to evaluate the proposed algorithms.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2017.2750169