{"title":"城市隧道分流区驾驶行为惯性:基于任务转换视角的新发现","authors":"Shiming He , Zhigang Du , Jialin Mei , Lei Han","doi":"10.1016/j.trf.2025.01.025","DOIUrl":null,"url":null,"abstract":"<div><div>Urban tunnel diverging areas are crucial for enhancing overall traffic efficiency. However, the complexity of driving tasks and drivers’ inaccurate perception and response to these tasks are primary contributors to accidents. This study categorizes tunnel diverging areas into three task segments: the approach segment, ramp discovery segment, and entry and navigation segment, with task switching occurring during segment transitions. The objective is to investigate drivers’ responses to driving tasks and their behavior during task switching, providing a foundation for optimizing traffic engineering in diverging areas. Data on speed, longitudinal acceleration, vehicle position, and steering wheel angle were collected from 44 drivers in field tests. Initially, a comparative analysis of driving behavior within task segments was conducted. ANOVA was then used to identify critical change points for each indicator during task switching. Finally, K-means clustering was employed to analyze multiple driving behavior indicators and explore response delays during task transitions. The results reveal that drivers exhibited a higher speeding ratio and delayed lane-change responses within task segments. During task switching, drivers tended to continue their previous driving state—termed ‘driving behavior inertia’, which led to later entries into deceleration lanes and more abrupt deceleration, highlighting drivers’ reduced task sensitivity and lower risk perception in tunnel diverging areas. Furthermore, driving behavior inertia was significantly influenced by route and gender. Drivers in the left lane showed weaker inertia than those in the right lane, while female drivers exhibited stronger inertia. These findings offer valuable insights for the design and optimization of traffic engineering facilities in tunnel diverging areas.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 1007-1023"},"PeriodicalIF":3.5000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Driving behavior inertia in urban tunnel diverging areas: New findings based on task-switching perspective\",\"authors\":\"Shiming He , Zhigang Du , Jialin Mei , Lei Han\",\"doi\":\"10.1016/j.trf.2025.01.025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Urban tunnel diverging areas are crucial for enhancing overall traffic efficiency. However, the complexity of driving tasks and drivers’ inaccurate perception and response to these tasks are primary contributors to accidents. This study categorizes tunnel diverging areas into three task segments: the approach segment, ramp discovery segment, and entry and navigation segment, with task switching occurring during segment transitions. The objective is to investigate drivers’ responses to driving tasks and their behavior during task switching, providing a foundation for optimizing traffic engineering in diverging areas. Data on speed, longitudinal acceleration, vehicle position, and steering wheel angle were collected from 44 drivers in field tests. Initially, a comparative analysis of driving behavior within task segments was conducted. ANOVA was then used to identify critical change points for each indicator during task switching. Finally, K-means clustering was employed to analyze multiple driving behavior indicators and explore response delays during task transitions. The results reveal that drivers exhibited a higher speeding ratio and delayed lane-change responses within task segments. During task switching, drivers tended to continue their previous driving state—termed ‘driving behavior inertia’, which led to later entries into deceleration lanes and more abrupt deceleration, highlighting drivers’ reduced task sensitivity and lower risk perception in tunnel diverging areas. Furthermore, driving behavior inertia was significantly influenced by route and gender. Drivers in the left lane showed weaker inertia than those in the right lane, while female drivers exhibited stronger inertia. These findings offer valuable insights for the design and optimization of traffic engineering facilities in tunnel diverging areas.</div></div>\",\"PeriodicalId\":48355,\"journal\":{\"name\":\"Transportation Research Part F-Traffic Psychology and Behaviour\",\"volume\":\"109 \",\"pages\":\"Pages 1007-1023\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part F-Traffic Psychology and Behaviour\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1369847825000257\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part F-Traffic Psychology and Behaviour","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1369847825000257","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, APPLIED","Score":null,"Total":0}
Driving behavior inertia in urban tunnel diverging areas: New findings based on task-switching perspective
Urban tunnel diverging areas are crucial for enhancing overall traffic efficiency. However, the complexity of driving tasks and drivers’ inaccurate perception and response to these tasks are primary contributors to accidents. This study categorizes tunnel diverging areas into three task segments: the approach segment, ramp discovery segment, and entry and navigation segment, with task switching occurring during segment transitions. The objective is to investigate drivers’ responses to driving tasks and their behavior during task switching, providing a foundation for optimizing traffic engineering in diverging areas. Data on speed, longitudinal acceleration, vehicle position, and steering wheel angle were collected from 44 drivers in field tests. Initially, a comparative analysis of driving behavior within task segments was conducted. ANOVA was then used to identify critical change points for each indicator during task switching. Finally, K-means clustering was employed to analyze multiple driving behavior indicators and explore response delays during task transitions. The results reveal that drivers exhibited a higher speeding ratio and delayed lane-change responses within task segments. During task switching, drivers tended to continue their previous driving state—termed ‘driving behavior inertia’, which led to later entries into deceleration lanes and more abrupt deceleration, highlighting drivers’ reduced task sensitivity and lower risk perception in tunnel diverging areas. Furthermore, driving behavior inertia was significantly influenced by route and gender. Drivers in the left lane showed weaker inertia than those in the right lane, while female drivers exhibited stronger inertia. These findings offer valuable insights for the design and optimization of traffic engineering facilities in tunnel diverging areas.
期刊介绍:
Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.