Work

Driver Source-Based Traffic Control Approach for Mitigating Congestion in Freeway Bottlenecks

Year: 2022

Type: article

Abstract: On-ramp control is an effective way to mitigate traffic congestion in freeways. In this study, a traffic control approach is developed based on the OD data of a regional freeway to alleviate the traffic overload in freeway bottlenecks. We first locate the major driver sources of the freeway bottlenecks and identify the on-ramps for implementing the traffic control schemes. Next, the differential evolution algorithm is employed to calculate the optimal control time at each traffic control on-ramp. The results indicate that the major driver sources of the freeway bottlenecks are limited. Traffic congestion in the freeway bottlenecks can be effectively mitigated by adaptively controlling the waiting time of vehicles at the on-ramps of their major driver sources.

Source: Journal of Advanced Transportation

DOI: 10.1155/2022/3536979

Authors: Minglun Li, Hu Yang, Bao Guo, Jianjun Dai, Pu Wang

Institutions: Central South University, Hunan Communications Research Institute

Language: English

Topic: Traffic control and management

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $2,760