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

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 w...

Full description

Bibliographic Details
Main Authors: Jia Hou, George F. List, Xiucheng Guo
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Computational Intelligence and Neuroscience
Online Access:http://dx.doi.org/10.1155/2014/761047
id doaj-293b3b8c7ab84d4190a603cc379d698e
record_format Article
spelling doaj-293b3b8c7ab84d4190a603cc379d698e2020-11-24T20:53:05ZengHindawi LimitedComputational Intelligence and Neuroscience1687-52651687-52732014-01-01201410.1155/2014/761047761047New Algorithms for Computing the Time-to-Collision in Freeway Traffic Simulation ModelsJia Hou0George F. List1Xiucheng Guo2School of Transportation, Southeast University, No. 2 Sipailou, Nanjing 210096, ChinaDepartment of Civil, Construction, and Environmental Engineering, NCSU, Raleigh, NC 27695, USASchool of Transportation, Southeast University, No. 2 Sipailou, Nanjing 210096, ChinaWays 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.http://dx.doi.org/10.1155/2014/761047
collection DOAJ
language English
format Article
sources DOAJ
author Jia Hou
George F. List
Xiucheng Guo
spellingShingle Jia Hou
George F. List
Xiucheng Guo
New Algorithms for Computing the Time-to-Collision in Freeway Traffic Simulation Models
Computational Intelligence and Neuroscience
author_facet Jia Hou
George F. List
Xiucheng Guo
author_sort Jia Hou
title New Algorithms for Computing the Time-to-Collision in Freeway Traffic Simulation Models
title_short New Algorithms for Computing the Time-to-Collision in Freeway Traffic Simulation Models
title_full New Algorithms for Computing the Time-to-Collision in Freeway Traffic Simulation Models
title_fullStr New Algorithms for Computing the Time-to-Collision in Freeway Traffic Simulation Models
title_full_unstemmed New Algorithms for Computing the Time-to-Collision in Freeway Traffic Simulation Models
title_sort new algorithms for computing the time-to-collision in freeway traffic simulation models
publisher Hindawi Limited
series Computational Intelligence and Neuroscience
issn 1687-5265
1687-5273
publishDate 2014-01-01
description 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.
url http://dx.doi.org/10.1155/2014/761047
work_keys_str_mv AT jiahou newalgorithmsforcomputingthetimetocollisioninfreewaytrafficsimulationmodels
AT georgeflist newalgorithmsforcomputingthetimetocollisioninfreewaytrafficsimulationmodels
AT xiuchengguo newalgorithmsforcomputingthetimetocollisioninfreewaytrafficsimulationmodels
_version_ 1716798187697602560