Title

Modeling Lane Preferences In Agent-Based Multi-Lane Highway Simulation

Abstract

Simulation of highway driving was traditionally the domain of virtual physics based models. Yet, traffic simulation is incomplete without considering the drivers' conscious strategic and tactical behavior. These aspects can be naturally simulated through an agent-based driver model. In this paper, we describe a model of the strategic lane preferences of the drivers, with a special attention to the optimal lane positioning for a safe exit. Our experiments show that the simulated traffic of Orlando's Highway 408 matches well with the real world traffic data. The increased simulation detail can be applied to crash prediction and the control of intelligent transportation system devices, such as variable speed limits. © 2012 Springer-Verlag London Limited.

Publication Date

12-1-2012

Publication Title

Computer and Information Sciences II - 26th International Symposium on Computer and Information Sciences, ISCIS 2011

Number of Pages

369-375

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-1-4471-2155-8-47

Socpus ID

84887848478 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84887848478

This document is currently not available here.

Share

COinS