Abstract
Road traffic management is of importance to traffic engineers and road users as it helps to make traffic flow more efficient on busy roadways. Several attempts at the management of traffic and traffic congestion have come short of reaching the desired goals because of the lack of suitable techniques for allocating time to various intersecting traffic routes. In this paper, we present a telecommunications and Monte Carlo probabilistic approach to analyze road traffic congestion and to allot time to the various intersecting routes. A suitable model was formulated for analyzing road network congestion and the concept of busy-hour from telecommunication theory was used in the collection of road traffic data. After data acquisition and analysis, an algorithm was developed and simulations were carried out using Monte Carlo (MC) simulation method. The algorithm was developed in Microsoft Studio developer platform with Fortran. The numerical results obtained in this work show that the telecommunications approach can be used to indicate the state of congestion on a traffic route. Furthermore, the MC probabilistic approach show promising results when used to allocate time to intersecting traffic routes.
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Traffic dataset: https://data.world/datasets/traffic
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Salau, A.O., Yesufu, T.K. (2020). A Probabilistic Approach to Time Allocation for Intersecting Traffic Routes. In: Jain, S., Paul, S. (eds) Recent Trends in Image and Signal Processing in Computer Vision. Advances in Intelligent Systems and Computing, vol 1124. Springer, Singapore. https://doi.org/10.1007/978-981-15-2740-1_11
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DOI: https://doi.org/10.1007/978-981-15-2740-1_11
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