Abstract
In current vehicle navigation system, path planning is mostly based on short physical length of route. However, road network information not only include physical length, but also include various traffic rules such as lane, no entry and steering delay of intersection. In this paper, considering the crossing traffic rule restrictions, we propose an urban vehicle routing algorithm based on ant colony algorithm. Firstly, urban road network is described as directed weighted graph, which considering actual traffic rules. Secondly, roads weight calculation formula in the static path planning is put forward by analyzing various influence factors of road network information and road level. Finally, the vehicle routing optimization algorithm is presented by combining ant colony algorithm and crossing traffic rule restriction. Experimental results show that our algorithm is effective and gets an optimized road path.
This work is supported by the National Natural Science Foundation of China (grant no.60802042), the Natural Science Foundation of Shandong Province, China (grant no. ZR2009GQ013).
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Ge, Y., Wang, J., Wang, G., Jiang, F. (2011). Urban Vehicle Routing Research Based on Ant Colony Algorithm and Traffic Rule Restriction. In: Wu, Y. (eds) High Performance Networking, Computing, and Communication Systems. ICHCC 2011. Communications in Computer and Information Science, vol 163. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25002-6_15
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DOI: https://doi.org/10.1007/978-3-642-25002-6_15
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