Abstract
This paper aims to solve the timetable rescheduling problem of a railway network to minimize the total delay in journey time of trains under any disastrous situation. Here, multiple tracks and platforms are taken into account to dynamically update the timetable. A Bat Algorithm (BA) based meta-heuristic approach is proposed to solve it. The results obtained from the proposed approach depicts that it can readily solve such problems in an efficient and optimized way. Moreover, the comparative study shows that this approach outperforms the existing method in this domain.
Supported by BIT Sindri.
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Acknowledgements
This research work is a part of the project [Project Id No.: 1-5728195821] named “Multi-Agent Based Modelling for Collision Handling and Delay Optimization in Indian Railway System” and funded by MHRD and World-bank under TEQIP Collaborative Research Scheme, Govt. of India.
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Dalapati, P., Paul, K. (2021). Optimal Scheduling for Delay Management in Railway Network Using Hybrid Bat Algorithm. In: Sekhar, G.C., Behera, H.S., Nayak, J., Naik, B., Pelusi, D. (eds) Intelligent Computing in Control and Communication. Lecture Notes in Electrical Engineering, vol 702. Springer, Singapore. https://doi.org/10.1007/978-981-15-8439-8_8
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