Effect Analysis of Early Warning for Abandoned Object on Highway Based on Internet-of-Vehicles CA Model

An early warning on the highway will effectively reduce traffic accidents. Considering the influence of an abandoned object on driving behavior, a Visual-based Asymmetric Two-lane Cellular Automata model with Abandoned Object (V-ATCA-AO) and an Internet-of-Vehicles-based Asymmetric Two-lane Cellular...

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Main Authors: Juan Bao, Wei Chen, Zhengtao Xiang, Yufeng Chen, Yishui Shui
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2018/3821731
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author Juan Bao
Wei Chen
Zhengtao Xiang
Yufeng Chen
Yishui Shui
author_facet Juan Bao
Wei Chen
Zhengtao Xiang
Yufeng Chen
Yishui Shui
author_sort Juan Bao
collection DOAJ
description An early warning on the highway will effectively reduce traffic accidents. Considering the influence of an abandoned object on driving behavior, a Visual-based Asymmetric Two-lane Cellular Automata model with Abandoned Object (V-ATCA-AO) and an Internet-of-Vehicles-based Asymmetric Two-lane Cellular Automata model with Abandoned Object (IoV-ATCA-AO) are proposed. Based on the two models, two types of traffic accidents caused by an abandoned object are analyzed: rear-end collision caused by the abandoned object ahead and collision of the vehicle with the abandoned object. Simulation results show the following: (1) the accidents occur when the road density is smaller, while the accidents will not occur when the density is larger. The results are different from the rear-end collision rate curve without abandoned object in a single lane. (2) Compared with the visual-based avoidance pattern in V-ATCA-AO, the Internet-of-Vehicles-based avoidance pattern in IoV-ATCA-AO can create an early warning for the abandoned object and tell the vehicle to make an earlier lane change and decelerate in advance, thereby significantly reducing the accident rate. (3) Spatiotemporal characteristics in front of the abandoned object directly affect the accident rate: the less the “stability” of a traffic jam in front of the abandoned object, the higher the accident rate.
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publishDate 2018-01-01
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spelling doaj-art-18c56edfccb641308235fe9d68690f132025-08-20T02:02:13ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2018-01-01201810.1155/2018/38217313821731Effect Analysis of Early Warning for Abandoned Object on Highway Based on Internet-of-Vehicles CA ModelJuan Bao0Wei Chen1Zhengtao Xiang2Yufeng Chen3Yishui Shui4School of Automation, Wuhan University of Technology, Wuhan 430070, ChinaSchool of Automation, Wuhan University of Technology, Wuhan 430070, ChinaSchool of Electrical and Information Engineering, Hubei University of Automotive Technology, Shiyan 442002, ChinaSchool of Electrical and Information Engineering, Hubei University of Automotive Technology, Shiyan 442002, ChinaSchool of Information Engineering, Wuhan University of Technology, Wuhan 430070, ChinaAn early warning on the highway will effectively reduce traffic accidents. Considering the influence of an abandoned object on driving behavior, a Visual-based Asymmetric Two-lane Cellular Automata model with Abandoned Object (V-ATCA-AO) and an Internet-of-Vehicles-based Asymmetric Two-lane Cellular Automata model with Abandoned Object (IoV-ATCA-AO) are proposed. Based on the two models, two types of traffic accidents caused by an abandoned object are analyzed: rear-end collision caused by the abandoned object ahead and collision of the vehicle with the abandoned object. Simulation results show the following: (1) the accidents occur when the road density is smaller, while the accidents will not occur when the density is larger. The results are different from the rear-end collision rate curve without abandoned object in a single lane. (2) Compared with the visual-based avoidance pattern in V-ATCA-AO, the Internet-of-Vehicles-based avoidance pattern in IoV-ATCA-AO can create an early warning for the abandoned object and tell the vehicle to make an earlier lane change and decelerate in advance, thereby significantly reducing the accident rate. (3) Spatiotemporal characteristics in front of the abandoned object directly affect the accident rate: the less the “stability” of a traffic jam in front of the abandoned object, the higher the accident rate.http://dx.doi.org/10.1155/2018/3821731
spellingShingle Juan Bao
Wei Chen
Zhengtao Xiang
Yufeng Chen
Yishui Shui
Effect Analysis of Early Warning for Abandoned Object on Highway Based on Internet-of-Vehicles CA Model
Discrete Dynamics in Nature and Society
title Effect Analysis of Early Warning for Abandoned Object on Highway Based on Internet-of-Vehicles CA Model
title_full Effect Analysis of Early Warning for Abandoned Object on Highway Based on Internet-of-Vehicles CA Model
title_fullStr Effect Analysis of Early Warning for Abandoned Object on Highway Based on Internet-of-Vehicles CA Model
title_full_unstemmed Effect Analysis of Early Warning for Abandoned Object on Highway Based on Internet-of-Vehicles CA Model
title_short Effect Analysis of Early Warning for Abandoned Object on Highway Based on Internet-of-Vehicles CA Model
title_sort effect analysis of early warning for abandoned object on highway based on internet of vehicles ca model
url http://dx.doi.org/10.1155/2018/3821731
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AT weichen effectanalysisofearlywarningforabandonedobjectonhighwaybasedoninternetofvehiclescamodel
AT zhengtaoxiang effectanalysisofearlywarningforabandonedobjectonhighwaybasedoninternetofvehiclescamodel
AT yufengchen effectanalysisofearlywarningforabandonedobjectonhighwaybasedoninternetofvehiclescamodel
AT yishuishui effectanalysisofearlywarningforabandonedobjectonhighwaybasedoninternetofvehiclescamodel