Abstract
The connection between traffic congestion and regional demand has become a consensus. A reasonable road network inflow control is essential to prevent the occurrence of congestion. With a consideration of deployment of detectors, an improved macroscopic fundamental diagram-based traffic volume dynamic control method via the feedback control is proposed in this study. Based on OD distribution of trips and connectivity of nodes, a novel method is adopted to identify the key nodes, on which the detectors are laid. And Artificial Neural Network is adopted to predict traffic volume of those sections without detectors. As a case study, the proposed methodology is applied to the regional Road network which is located in downtown area of Nanning, China. Adequate survey and analysis are carried out under current road traffic conditions via simulation study. It is proved that the regional traffic volume dynamic control can ensure steady and orderly regional traffic flow, and enhance the mobility in a saturated traffic conditions.
Original document
The different versions of the original document can be found in:
Document information
Published on 01/01/2016
Volume 2016, 2016
DOI: 10.18293/seke2016-038
Licence: CC BY-NC-SA license
Share this document
Keywords
claim authorship
Are you one of the authors of this document?