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Computational Intelligence and Neuroscience
Volume 2014 (2014), Article ID 761047, 8 pages
http://dx.doi.org/10.1155/2014/761047
Research Article

New Algorithms for Computing the Time-to-Collision in Freeway Traffic Simulation Models

1School of Transportation, Southeast University, No. 2 Sipailou, Nanjing 210096, China
2Department of Civil, Construction, and Environmental Engineering, NCSU, Raleigh, NC 27695, USA

Received 3 October 2014; Accepted 4 December 2014; Published 31 December 2014

Academic Editor: Yongjun Shen

Copyright © 2014 Jia Hou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Ways to estimate the time-to-collision are explored. In the context of traffic simulation models, classical lane-based notions of vehicle location are relaxed and new, fast, and efficient algorithms are examined. With trajectory conflicts being the main focus, computational procedures are explored which use a two-dimensional coordinate system to track the vehicle trajectories and assess conflicts. Vector-based kinematic variables are used to support the calculations. Algorithms based on boxes, circles, and ellipses are considered. Their performance is evaluated in the context of computational complexity and solution time. Results from these analyses suggest promise for effective and efficient analyses. A combined computation process is found to be very effective.