DSDCS: Detection of safe driving via crowd sensing

Affiliation of Author(s):计算机科学与技术学院/人工智能学院/软件学院

Journal:Lect. Notes Comput. Sci.

Abstract:Traffic safety plays an important role in smart transportation, and it has become a social issue worthy of attention. For detection of safe driving, we focus on the collection, processing, distribution, exchange, analysis and utilization of information, and aim at providing diverse services for drivers and passengers. By adopting crowdsourcing and crowd-sensing, we monitor the extreme driving behavior during the process of driving, trying to reduce the probability of traffic accidents. The smartphones are carried by passengers, which can sense the driving state of the vehicles with our proposed incentive mechanism. After the data is integrated, we are able to monitor the driving behavior more accurately, and finally secure the public transit. Finally, we developed a safe driving App for monitoring and evaluation. © 2018, Springer Nature Switzerland AG.

ISSN No.:0302-9743

Translation or Not:no

Date of Publication:2018-01-01

Co-author:Du, Yun,Shi, Chenyang,Zhu, Yifan,bohan li

Correspondence Author:zhouguoxing

Date of Publication:2018-01-01