Intelligent Vehicle Global Path Planning Based on Improved Particle Swarm Optimization

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DOI: 10.4236/oalib.1104587    345 Downloads   1,222 Views  
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ABSTRACT

Intelligent Transportation System (ITS) is able to reduce traffic jams and the incidence of accidents, and it is the current research hotspot. Intelligent vehicle is the key element of ITS, and path planning is one of the key technologies of intelligent vehicle. Particle Swarm Optimization (PSO) is a swarm-based intelligence algorithm. Using PSO for path planning can achieve good results. In order to improve PSO to get a better path planning result, a nonlinear inertia weight is proposed. The improved PSO and traditional PSO are compared in a global complex environment and the simulation results show that the improved PSO has a shorter path and better real-time performance.

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(2018) Intelligent Vehicle Global Path Planning Based on Improved Particle Swarm Optimization. Open Access Library Journal, 5, 1-8. doi: 10.4236/oalib.1104587.
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