01660339

Component

There is no doubt that the provision of real-time travel information to the individual drivers has a big potential for influencing their behaviour with respect to the route choice, trip making, times of travel and mode choice. As real-time data became available in large quantities, cheaply and fast, due to the most recent development in the Information and Communication Technologies and Intelligent Transport Systems area, there arose questions on effects of this information on the individual drivers’ behaviour and the overall network performance. As a consequence a demand has been rising for new control strategies levering the provision of information on a real-time basis to individual vehicles in a traffic system in order to expand the spectrum of opportunities to influence traffic conditions in increasingly congested networks. This paper argues that the congestion problems observed in the Internet networks are analogous to the transportation networks’. That the methods targeting congestion which proved successful in the Transmission Control Protocol can be adapted to be used in transportation networks. Thus, the paper provides a proof of concept for the application of the Random Early Detection strategy in transportation networks taking the advantage of the real-time information with the goal of alleviating congestion. The test were conducted on a fitted Braess’ network. The obtained results indicated that Random Early Detection algorithms are suited to tackle congestion in transportation network and that they hold a potential for improvement yet to be discovered.

This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.

18-02143

English

19p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Appendices; Figures; References; Tables

Algorithms; Behavior; Highway traffic control; Real time control; Real time information; Traffic congestion

Highways; Operations and Traffic Management

Transportation Research Board Annual Meeting 2018 Paper #18-02143

TRIS, TRB, ATRI

Jan 8 2018 10:31AM