The combination of continuous network design and route guidance

In this study, a traffic management measure is presented by combining the route guidance of Advanced Traveler Information System (ATIS) and the continuous network design (CNDP) to alleviate increasing traffic congestion. The route guidance recommends the travelers to choose the shortest path based o...

Full description

Saved in:
Bibliographic Details
Published in:Computers & operations research 2016-09, Vol.73, p.92-103
Main Authors: Han, Linghui, Sun, Huijun, Wang, David Z.W., Zhu, Chengjuan, Wu, Jianjun
Format: Article
Language:English
Subjects:
Algorithms
Assignment problem
Computer networks
Continuous network design
Design engineering
Information systems
Networks
Operations research
Route guidance
Routing (telecommunications)
Studies
System optimal
Telematics
Traffic assignment
Traffic congestion
Traffic demand management
Traffic engineering
Traffic flow
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this study, a traffic management measure is presented by combining the route guidance of Advanced Traveler Information System (ATIS) and the continuous network design (CNDP) to alleviate increasing traffic congestion. The route guidance recommends the travelers to choose the shortest path based on marginal travel cost and user constraints. The problem is formulated into a bi-level programming problem. The most distinct property of this problem formulation is that the feasible path set of its lower-level problem is determined by the decision variable of upper-level problem, while in conventional transportation network design problems the feasible path set for lower-level traffic assignment problem is fixed to be all the viable paths between each specific origin-destination pair. The simulated annealing algorithm is improved to solve this bi-level problem. A path-based traffic algorithm is developed to calculate the lower-level traffic assignment problem under the route guidance. Compared to the results of conventional CNDP, the measure presented in this study can better improve the transportation network performance. •A traffic management measure combining the route guidance and the continuous network design is presented.•A path-based algorithm is given to solve system optimal problem with user constraints.•The simulated annealing algorithm is improved to solve the bi-level problem.•Results show that system performance can be improved with the route guidance measure of this paper.
ISSN:0305-0548
1873-765X
0305-0548
DOI:10.1016/j.cor.2016.03.012