The Vehicle Collision Warning Method Based on the Information Fusion of GPS/INS and DSRC
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Wang, Gang
Chong, Peter Han Joo
Seet, Boon-Chong
Zhang, Kesong
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IOP Publishing
Abstract
The traditional vehicle collision avoidance systems are based on vehicle sensors. With the development of intelligent transport systems, wireless communication technologies have been widely used in the vehicle. A loose coupling mode under is proposed as vehicle collision warning strategy. The information exchange between vehicles could be available by dedicated short range communication. The adaptive Kalman filter can predict the vehicle trajectory and analyze the probability of collision. The simulation verification was carried out by the MATLAB/Simulink platform. Results show that the feasibility and validity of the algorithm are verified.
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35 Commerce, Management, Tourism and Services, 40 Engineering, 4001 Aerospace Engineering, 3509 Transportation, Logistics and Supply Chains, 4005 Civil Engineering, 46 Information and Computing Sciences, 4605 Data Management and Data Science
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© Published under licence by IOP Publishing Ltd. Open access.
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Except where otherwise noted, this item's license is described as Creative Commons Attribution 3.0 licence.