A Review on Drivers’ Red Light Running Behavior Predictions and Technology Based Countermeasures
Red light running at signalised intersections is a growing road safety issue worldwide, leading to the rapid development of advanced intelligent transportation technologies and countermeasures. However, existing studies have yet to summarise and present the effect of these technology-based innovatio...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9720968/ |
| _version_ | 1819018080254164992 |
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| author | Md Mostafizur Rahman Komol Jack Pinnow Mohammed Elhenawy Shamsunnahar Yasmin Mahmoud Masoud Sebastien Glaser Andry Rakotonirainy |
| author_facet | Md Mostafizur Rahman Komol Jack Pinnow Mohammed Elhenawy Shamsunnahar Yasmin Mahmoud Masoud Sebastien Glaser Andry Rakotonirainy |
| author_sort | Md Mostafizur Rahman Komol |
| collection | DOAJ |
| description | Red light running at signalised intersections is a growing road safety issue worldwide, leading to the rapid development of advanced intelligent transportation technologies and countermeasures. However, existing studies have yet to summarise and present the effect of these technology-based innovations in improving safety. This paper represents a comprehensive review of red-light running behaviour prediction methodologies and technology-based countermeasures. Specifically, the major focus of this study is to provide a comprehensive review on two streams of literature targeting red-light running and stop-and-go behaviour at signalised intersection – (1) studies focusing on modelling and predicting the red-light running and stop-and-go related driver behaviour and (2) studies focusing on the effectiveness of different technology-based countermeasures which combat such unsafe behaviour. The study provides a systematic guide to assist researchers and stakeholders in understanding how to best identify red-light running and stop-and-go associated driving behaviour and subsequently implement countermeasures to combat such risky behaviour and improve the associated safety. |
| first_indexed | 2024-12-21T03:13:44Z |
| format | Article |
| id | doaj.art-a33e4d4c3a5d45e688966e16e67cfddb |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-21T03:13:44Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a33e4d4c3a5d45e688966e16e67cfddb2022-12-21T19:17:54ZengIEEEIEEE Access2169-35362022-01-0110253092532610.1109/ACCESS.2022.31540889720968A Review on Drivers’ Red Light Running Behavior Predictions and Technology Based CountermeasuresMd Mostafizur Rahman Komol0https://orcid.org/0000-0001-9746-8109Jack Pinnow1Mohammed Elhenawy2https://orcid.org/0000-0003-2634-4576Shamsunnahar Yasmin3Mahmoud Masoud4https://orcid.org/0000-0002-0130-4327Sebastien Glaser5https://orcid.org/0000-0003-0658-7765Andry Rakotonirainy6https://orcid.org/0000-0002-2144-4909Centre for Accident Research and Road Safety–Queensland, Queensland University of Technology, Kelvin Grove, QLD, AustraliaDepartment of Transport and Main Road (Queensland), Brisbane, QLD, AustraliaCentre for Accident Research and Road Safety–Queensland, Queensland University of Technology, Kelvin Grove, QLD, AustraliaCentre for Accident Research and Road Safety–Queensland, Queensland University of Technology, Kelvin Grove, QLD, AustraliaCentre for Accident Research and Road Safety–Queensland, Queensland University of Technology, Kelvin Grove, QLD, AustraliaCentre for Accident Research and Road Safety–Queensland, Queensland University of Technology, Kelvin Grove, QLD, AustraliaCentre for Accident Research and Road Safety–Queensland, Queensland University of Technology, Kelvin Grove, QLD, AustraliaRed light running at signalised intersections is a growing road safety issue worldwide, leading to the rapid development of advanced intelligent transportation technologies and countermeasures. However, existing studies have yet to summarise and present the effect of these technology-based innovations in improving safety. This paper represents a comprehensive review of red-light running behaviour prediction methodologies and technology-based countermeasures. Specifically, the major focus of this study is to provide a comprehensive review on two streams of literature targeting red-light running and stop-and-go behaviour at signalised intersection – (1) studies focusing on modelling and predicting the red-light running and stop-and-go related driver behaviour and (2) studies focusing on the effectiveness of different technology-based countermeasures which combat such unsafe behaviour. The study provides a systematic guide to assist researchers and stakeholders in understanding how to best identify red-light running and stop-and-go associated driving behaviour and subsequently implement countermeasures to combat such risky behaviour and improve the associated safety.https://ieeexplore.ieee.org/document/9720968/Red-light runningstop-go at yellow onsetdilemma Zoneintersectionbehavior predictionstatistical and machine learning models |
| spellingShingle | Md Mostafizur Rahman Komol Jack Pinnow Mohammed Elhenawy Shamsunnahar Yasmin Mahmoud Masoud Sebastien Glaser Andry Rakotonirainy A Review on Drivers’ Red Light Running Behavior Predictions and Technology Based Countermeasures IEEE Access Red-light running stop-go at yellow onset dilemma Zone intersection behavior prediction statistical and machine learning models |
| title | A Review on Drivers’ Red Light Running Behavior Predictions and Technology Based Countermeasures |
| title_full | A Review on Drivers’ Red Light Running Behavior Predictions and Technology Based Countermeasures |
| title_fullStr | A Review on Drivers’ Red Light Running Behavior Predictions and Technology Based Countermeasures |
| title_full_unstemmed | A Review on Drivers’ Red Light Running Behavior Predictions and Technology Based Countermeasures |
| title_short | A Review on Drivers’ Red Light Running Behavior Predictions and Technology Based Countermeasures |
| title_sort | review on drivers x2019 red light running behavior predictions and technology based countermeasures |
| topic | Red-light running stop-go at yellow onset dilemma Zone intersection behavior prediction statistical and machine learning models |
| url | https://ieeexplore.ieee.org/document/9720968/ |
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