Citation

Melchor M, Lucas-Alba A, Ferruz AM, Blanch MT, Martín-Albo J. Transp. Res. Proc. 2018; 33: 179-186.

Copyright

(Copyright © 2018, Elsevier Publications)

DOI

10.1016/j.trpro.2018.10.097

PMID

unavailable

Abstract

In the last ten years our knowledge about the formation of traffic jams has changed substantially, so that the idea of "phantom traffic jam" could soon seem naive to us. But transforming traffic flows and eliminating traffic jams requires that each individual driver (human or non-human) understands their role in traffic flows, the genesis of traffic jams, and how to behave to avoid them. Based on previous studies we have termed this adaptive, anti-jam behavior Wavedriving. This paper presents the design and structure of an online WaveDriving course (WDC) conceived to teach to avoid traffic jams, as well as its first pilot tests. Although some improvements have been identified after the pilots, the preliminary results confirm that the WDC manages to transform car-following behavior of participants, from ordinary drivers to WaveDrivers.

Language: en

Keywords

communication technologies; driving simulators; information; learning; traffic jams; WaveDriving