The role of drivers’ social interactions in their driving behavior: Empirical evidence and implications for car-following and traffic flow
出版年份 2021 全文链接
标题
The role of drivers’ social interactions in their driving behavior: Empirical evidence and implications for car-following and traffic flow
作者
关键词
Microscopic driving behavior, Social influence, Data-driven method, Random parameter, Peer influence, Driving decision, Gossip effect, Acceleration behavior
出版物
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
Volume 80, Issue -, Pages 203-217
出版商
Elsevier BV
发表日期
2021-05-06
DOI
10.1016/j.trf.2021.04.002
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Applying Markov decision process to understand driving decisions using basic safety messages data
- (2020) Mohsen Kamrani et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Classifying travelers' driving style using basic safety messages generated by connected vehicles: Application of unsupervised machine learning
- (2020) Amin Mohammadnazar et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Data-driven car-following model based on rough set theory
- (2018) Shenxue Hao et al. IET Intelligent Transport Systems
- The Impact of Traffic Environmental Vision Pressure on Driver Behaviour
- (2018) Yi Li et al. JOURNAL OF ADVANCED TRANSPORTATION
- An extended two-lane car-following model accounting for inter-vehicle communication
- (2018) Hui Ou et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- The impacts of heavy rain on speed and headway Behaviors: An investigation using the SHRP2 naturalistic driving study data
- (2018) Mohamed M. Ahmed et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Modeling the Imperfect Driver: Incorporating Human Factors in a Microscopic Traffic Model
- (2017) Manuel Lindorfer et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Relative velocity difference model for the car-following theory
- (2017) Shaowei Yu et al. NONLINEAR DYNAMICS
- Modelling acceleration decisions in traffic streams with weak lane discipline: A latent leader approach
- (2016) Charisma F. Choudhury et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A fuzzy logic-based multi-agent car-following model
- (2016) Haiming Hao et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A Linear Dynamic Model for Driving Behavior in Car Following
- (2016) Luigi Pariota et al. TRANSPORTATION SCIENCE
- The kinematic wave model with finite decelerations: A social force car-following model approximation
- (2015) Rafael Delpiano et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- A simple nonparametric car-following model driven by field data
- (2015) Zhengbing He et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- A new car-following model with consideration of inter-vehicle communication
- (2014) Tieqiao Tang et al. NONLINEAR DYNAMICS
- Artificial Neural Network Models for Car Following: Experimental Analysis and Calibration Issues
- (2013) Chiara Colombaroni et al. Journal of Intelligent Transportation Systems
- Data-Driven Intelligent Transportation Systems: A Survey
- (2011) Junping Zhang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Examining Traffic Flow and Speed Data: Determining Imitative Behavior
- (2011) Robert M. Arthur Traffic Injury Prevention
- Estimation of an integrated driving behavior model
- (2009) Tomer Toledo et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
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