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A Multi-Criteria Route Selection Method for Vehicles Using Genetic Algorithms Based on Driver’s Preference

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Abstract

Finding the best path between a given source and a destination in a road network is an important problem. It has its applications in various map services and commercial navigation systems. Generally, in the case of car navigation systems, the shortest path may not always be the best one from the driver’s point of view. There are many other factors such as road traffic, speed of the vehicles, road safety, etc. that need to be considered. Thus, we introduce the safety criteria of the route which depends on the road conditions, turns and the accident statistics of the road for finding an optimal route for a vehicle. The road maps tend to be large which makes the exact solutions impracticable for use. Also, alternate routes based on various criteria are to be evaluated simultaneously to meet the possible needs of the drivers. Therefore, a Genetic Algorithm based solution is proposed to find simultaneous alternate routes based on each of the considered criteria. A balanced optimal route depending on the driver’s preference is computed by considering multiple criteria simultaneously. The method is tested on different network sizes and the results obtained are compared with an existing solution. The analysis shows the effectiveness of the method and the significance of the proposed objective functions.

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Acknowledgements

This work is supported by the Department of Electronics and Information Technology, Ministry of Communications and IT, Government of India under the Visvesvaraya PhD Scheme administered by Media Lab Asia.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India

    Rangaballav Pradhan & Tanmay De

  2. MAQ Software, Hyderabad, 500081, India

    Ansu Agarwal

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  1. Rangaballav Pradhan
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  3. Tanmay De
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Correspondence to Rangaballav Pradhan.

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Pradhan, R., Agarwal, A. & De, T. A Multi-Criteria Route Selection Method for Vehicles Using Genetic Algorithms Based on Driver’s Preference. Wireless Pers Commun 125, 2477–2496 (2022). https://doi.org/10.1007/s11277-022-09670-6

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