Identification of critical links in a large-scale road network considering the traffic flow betweenness index.

ABSTRACT: The traditional full-scan method is commonly used for identifying critical links in road networks. This method simulates each link to be closed iteratively and measures its impact on the efficiency of the whole network. It can accurately identify critical links. However, in this method, traffic assignments are conducted under all scenarios of link disruption, making this process prohibitively time-consuming for large-scale road networks. This paper proposes an approach considering the traffic flow betweenness index (TFBI) to identify critical links, which can significantly reduce the computational burden compared with the traditional full-scan method. The TFBI consists of two parts: traffic flow betweenness and endpoint origin-destination (OD) demand (rerouted travel demand). There is a we

SUBMITTER: Li F 

PROVIDER: S-EPMC7147776 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature