Title
A trade-off between average and maximum arc congestion minimization in traffic assignment with user constraints
Abstract
•In this paper we propose a new model that is a compromise between minimizing the average arc congestion and the worst arc congestion on the road network.•The model is a linear program that minimizes the average arc congestion over a given percentage of the most congested arcs.•A heuristic algorithm aimed at reducing the number of paths that are considered for the model is also proposed. A computational study is performed that shows the flexibility of the model and the quality of the heuristic.•Computational experiments show that the proposed heuristic reduces by orders of magnitude the number of generated paths and, consequently, by orders of magnitude the amount of memory usage and computational time, while allowing high quality solutions of the model.
Year
DOI
Venue
2019
10.1016/j.cor.2019.05.028
Computers & Operations Research
Keywords
Field
DocType
Traffic assignment,Congestion,Linear programming,CVaR
Mathematical optimization,Heuristic,Road networks,Arc (geometry),Heuristic (computer science),Minification,Linear programming,Travel time,Mathematics,Bounded function
Journal
Volume
ISSN
Citations 
110
0305-0548
2
PageRank 
References 
Authors
0.46
0
3
Name
Order
Citations
PageRank
Enrico Angelelli129120.58
V. Morandi231.23
Maria Grazia Speranza3121777.86