A new car-following model accounting for varying road condition

In this paper, we develop a new car-following model with consideration of varying road condition based on the empirical data. Firstly, we explore the effects of road condition on uniform flow from analytical and numerical perspectives. The results indicate that road condition has great influences on...

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Main Authors: Tang, T., Wang, Y., Yang, X., Wu, Yong Hong
Format: Journal Article
Published: Spinger 2012
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/44483
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author Tang, T.
Wang, Y.
Yang, X.
Wu, Yong Hong
author_facet Tang, T.
Wang, Y.
Yang, X.
Wu, Yong Hong
author_sort Tang, T.
building Curtin Institutional Repository
collection Online Access
description In this paper, we develop a new car-following model with consideration of varying road condition based on the empirical data. Firstly, we explore the effects of road condition on uniform flow from analytical and numerical perspectives. The results indicate that road condition has great influences on uniform flow, i.e., good road condition can enhance the velocity and flow and their increments will increase when road condition becomes better; bad road conditions will reduce the velocity and flow and their reductions will increase when road condition turns worse. Secondly, we study the effects of road conditions on the starting and braking processes. The numerical results show that good road condition will speed up the two processes and that bad road condition will slow down the two processes. Finally, we study the effects of road condition on small perturbation. The numerical results indicate that the stop-and-go phenomena resulted by small perturbation will become more serious when the road condition becomes better.
first_indexed 2025-11-14T09:21:21Z
format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:21:21Z
publishDate 2012
publisher Spinger
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-444832017-09-13T14:11:35Z A new car-following model accounting for varying road condition Tang, T. Wang, Y. Yang, X. Wu, Yong Hong traffic flow car-following model road condition In this paper, we develop a new car-following model with consideration of varying road condition based on the empirical data. Firstly, we explore the effects of road condition on uniform flow from analytical and numerical perspectives. The results indicate that road condition has great influences on uniform flow, i.e., good road condition can enhance the velocity and flow and their increments will increase when road condition becomes better; bad road conditions will reduce the velocity and flow and their reductions will increase when road condition turns worse. Secondly, we study the effects of road conditions on the starting and braking processes. The numerical results show that good road condition will speed up the two processes and that bad road condition will slow down the two processes. Finally, we study the effects of road condition on small perturbation. The numerical results indicate that the stop-and-go phenomena resulted by small perturbation will become more serious when the road condition becomes better. 2012 Journal Article http://hdl.handle.net/20.500.11937/44483 10.1007/s11071-012-0542-8 Spinger restricted
spellingShingle traffic flow
car-following model
road condition
Tang, T.
Wang, Y.
Yang, X.
Wu, Yong Hong
A new car-following model accounting for varying road condition
title A new car-following model accounting for varying road condition
title_full A new car-following model accounting for varying road condition
title_fullStr A new car-following model accounting for varying road condition
title_full_unstemmed A new car-following model accounting for varying road condition
title_short A new car-following model accounting for varying road condition
title_sort new car-following model accounting for varying road condition
topic traffic flow
car-following model
road condition
url http://hdl.handle.net/20.500.11937/44483