Evaluation of a Proposed Intelligent Transportation Framework using Computer Network Concepts: A Case Study for Hajj-Pilgrim Traffic Monitoring and Control
Intelligent Transportation Systems (ITS) provides an effective mechanism by which to optimize the movement of people/vehicles in congested and densely populated areas. The ITS infrastructure integrates modern sensory-communication systems together with computational techniques to provide the processing functionality required in such intelligent systems. An approach for incorporating intelligence in transportation for a candidate application-domain is proposed in this paper for the case of the Hajj traffic scenario. In particular, this paper addresses the need to optimize the movement of pilgrim-traffic between Holy sites during the Hajj period which clearly demonstrates its key significance for the well-being of around three-million pilgrims each year. Computational modeling and networking techniques were employed for behavioral analysis of the traffic-congestion domain with extensive simulations performed to evaluate the proposed ITS deployment scenario. The technique is found to be very effective for addressing the transportation-bottleneck that arises as a result of the saturated and congested roads at known \'hotspots\' between Holy sites. It is shown that the proposed monitoring and control approach of traffic results with reduced congestion-levels, lower-journey-times and an overall enhancement of the transport-infrastructure capacity utilization. Finally, vehicle-flow trajectories are examined and optimized in order to increase traffic-throughput and reduce traffic-delays under the environmental-constraints of the target deployment site.
Keywords: Intelligent transportation systems, modeling and simulation, road-network traffic evaluation, traffic-management optimization.
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ABOUT THE AUTHORS
Omar Tayan
Department of Networks and Communication Systems, College of Computer Science and Engineering, Taibah University.
Abdullah Al-Binali
Department of Networks and Communication Systems, College of Computer Science and Engineering, Taibah University.
Omar Tayan
Department of Networks and Communication Systems, College of Computer Science and Engineering, Taibah University.
Abdullah Al-Binali
Department of Networks and Communication Systems, College of Computer Science and Engineering, Taibah University.