Real-time merging traffic control for throughput maximization at motorway work zones |
| |
| Institution: | 1. Dynamic Systems and Simulation Laboratory, Technical University of Crete, 73100 Chania, Greece;2. Institute of Transportation Engineering, College of Civil Engineering and Architecture, ZheJiang University, Hangzhou 310058, PR China;1. Institute of Systems Engineering, College of Management and Economics, Tianjin University, No. 92 Weijin Road, Nankai District, Tianjin 300072, China;2. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China;1. Beijing Engineering Research Center of Urban Transportation Maintenance and Operations, College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, PR China;2. The Texas Department of Transportation, 9500 N. Lake Creek Parkway, Austin, TX, 78717, USA;1. Department of Civil Engineering, University of Memphis, 3815 Central Avenue, Memphis, TN, 38152, United States;2. Department of Civil & Environmental Engineering, Old Dominion University, 135 Kaufman Hall, Norfolk, VA, 23529, United States;3. Intermodal Freight Transportation Institute, University of Memphis, Memphis, TN, 38152, United States;1. Faculty of Architectural, Civil Engineering and Environment, Ningbo University, Ningbo 315211, China;2. School of Science, Huzhou University, Huzhou 313000, China |
| |
| Abstract: | Work zones on motorways necessitate the drop of one or more lanes which may lead to significant reduction of traffic flow capacity and efficiency, traffic flow disruptions, congestion creation, and increased accident risk. Real-time traffic control by use of green–red traffic signals at the motorway mainstream is proposed in order to achieve safer merging of vehicles entering the work zone and, at the same time, maximize throughput and reduce travel delays. A significant issue that had been neglected in previous research is the investigation of the impact of distance between the merge area and the traffic lights so as to achieve, in combination with the employed real-time traffic control strategy, the most efficient merging of vehicles. The control strategy applied for real-time signal operation is based on an ALINEA-like proportional–integral (PI-type) feedback regulator. In order to achieve maximum performance of the control strategy, some calibration of the regulator’s parameters may be necessary. The calibration is first conducted manually, via a typical trial-and-error procedure. In an additional investigation, the recently proposed learning/adaptive fine-tuning (AFT) algorithm is employed in order to automatically fine-tune the regulator parameters. Experiments conducted with a microscopic simulator for a hypothetical work zone infrastructure, demonstrate the potential high benefits of the control scheme. |
| |
| Keywords: | Work zone management Feedback control Merging traffic control Adaptive fine-tuning (AFT) Regulator fine-tuning |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
