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Application of Angle Related Cost Function Optimization for Dynamic Path Planning Algorithm

1
School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China
2
School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Algorithms 2018, 11(8), 127; https://doi.org/10.3390/a11080127
Received: 19 July 2018 / Revised: 9 August 2018 / Accepted: 9 August 2018 / Published: 15 August 2018
In recent years, Intelligent Transportation Systems (ITS) have developed a lot. More and more sensors and communication technologies (e.g., cloud computing) are being integrated into cars, which opens up a new design space for vehicular-based applications. In this paper, we present the Spatial Optimized Dynamic Path Planning algorithm. Our contributions are, firstly, to enhance the effective of loading mechanism for road maps by dividing the connected sub-net, and building a spatial index; and secondly, to enhance the effect of the dynamic path planning by optimizing the search direction. We use the real road network and real-time traffic flow data of Karamay city to simulate the effect of our algorithm. Experiments show that our Spatial Optimized Dynamic Path Planning algorithm can significantly reduce the time complexity, and is better suited for use as a real-time navigation system. The algorithm can achieve superior real-time performance and obtain the optimal solution in dynamic path planning. View Full-Text
Keywords: Intelligent Transportation System; advanced driver assistance systems; dynamic path planning; optimization Intelligent Transportation System; advanced driver assistance systems; dynamic path planning; optimization
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Zeng, M.; Yang, X.; Wang, M.; Xu, B. Application of Angle Related Cost Function Optimization for Dynamic Path Planning Algorithm. Algorithms 2018, 11, 127.

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