A Highway On-Ramp Control Approach Integrating Percolation Bottleneck Analysis and Vehicle Source IdentificationShengnan Li, Hu Yang, Minglun Li, Jianjun Dai, Pu Wang
- Management, Monitoring, Policy and Law
- Renewable Energy, Sustainability and the Environment
- Geography, Planning and Development
- Building and Construction
Identifying the bottleneck segments and developing targeted traffic control strategies can facilitate the mitigation of highway traffic congestion. In this study, we proposed a new method for identifying the bottleneck segment in a large highway network based on the percolation theory. A targeted on-ramp control approach was further developed by identifying the major vehicle sources of the bottleneck segment. We found that the identified bottleneck segment played a crucial role in maintaining the functional connectivity of the highway network in terms of meeting the required level of service. The targeted on-ramp control approach can more effectively enhance the service level of the highway network.