Algorithm for Increasing Traffic Capacity of Level-Crossing Using Scheduling Theory and Intelligent Embedded Devices

Ivars Alps; Mikhail Gorobetz; Anatoly Levchenkov

doi:10.2478/v10144-011-0022-x

Algorithm for Increasing Traffic Capacity of Level-Crossing Using Scheduling Theory and Intelligent Embedded Devices

Authors

Ivars Alps Riga Technical University
Mikhail Gorobetz Riga Technical University
Anatoly Levchenkov Riga Technical University

DOI:

https://doi.org/10.2478/v10144-011-0022-x

Keywords:

genetic algorithm, intelligent transport system, level-crossing control, rail transport

Abstract

In this paper the authors present heuristics algorithm for level-crossing traffic capacity increasing. The genetic algorithm is proposed for this task solution. The control of motion speed and operation with level-crossing barriers are proposed to create control centre and installed embedded intelligent devices on railway vehicles.Algorithm is tested using computer. The results of experiments show big promises for rail transport schedule fulfilment and level-crossing traffic capacity increasing using proposed algorithm.

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