Traffic Police Supply Optimization by a new two Phase Dynamic Capacity Assignment Method Based on Variable Distributed Demand on Network

Publish Year: 1404
نوع سند: مقاله کنفرانسی
زبان: English
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HESLC02_002

تاریخ نمایه سازی: 16 خرداد 1404

Abstract:

Traffic police operational services are known as one of the three elements in road transportation rescue services during natural and unnatural crises (traffic accidents and crashes). The central role of the police in handling and managing rescue is much more important than its executive role, which should be given more attention by decision-makers. The need for the presence of traffic police and receiving their rescue services is always much greater than the power and capacity that can be provided by this collection. Therefore, the need to manage the available capacity and optimally supply and allocate this capacity throughout the network is essential to ensure relatively balanced safety in all road corridors covered by a traffic police collection. In this article, three basic variables, the number of fatalities in traffic accidents and crashes, population, and area of sub-regions, have been examined as factors generating the demand for police services. In the proposed two-phase method, the demand for services is separated, and the available capacity is distributed evenly among the sub-regions.

Authors

Mohammad Bagher Salimi

Assistant Professor, Traffic Safety Management, Traffic Department of Traffic Operation, Faculty of Command and Staff, Amin University of Police Science, Tehran, Iran.

Majid Haghshenas

Instructor, Traffic Safety Management, Department of Traffic Operation, Faculty of Command and Staff, Amin University of Police Science, Tehran, Iran.

Omid Khorshidi

M.Sc., Construction Engineering and Management, Department of Structure Engineering, Faculty of Civil Engineering, Iran University of Science and Technology, Tehran, Iran.

Moein-Aldin AliHosseini

M.Sc., Software Engineering, Department of Software Engineering University of Isfahan, Isfahan, Iran.

Amir Hossein Tabbakhpour Langeroodi

M.Sc., Transportation Engineering and Planning, Department of Transportation, Faculty of Civil Engineering, Iran University of Science and Technology, Tehran, Iran.