Modeling, calibrating, and validating car following and lane changing behavior
Author:
Publisher
Elsevier BV
Subject
Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering
Reference8 articles.
1. Calibrating the Wiedemann’s vehicle-following model using mixed vehicle-pair interactions;Durrani;Transport. Res. Part C: Emerg. Technol.,2016
2. Weather and road geometry impact on longitudinal driving behavior: Exploratory analysis using an empirically supported acceleration modeling framework;Hamdar;Transport. Res. Part C: Emerg. Technol.,2016
3. Categorization of the lane change decision process on freeways;Keyvan-Ekbatani;Transport. Res. Part C: Emerg. Technol.,2016
4. A fuzzy logic-based multi-agent car-following model;Hao;Transport. Res. Part C: Emerg. Technol.,2016
5. Lane changing intention recognition based on speech recognition models;Li;Transport. Res. Part C: Emerg. Technol.,2016
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1. An Integrated Model for Autonomous Speed and Lane Change Decision-Making Based on Deep Reinforcement Learning;IEEE Transactions on Intelligent Transportation Systems;2022-11
2. A platoon regulation algorithm to improve the traffic performance of highway work zones;Computer-Aided Civil and Infrastructure Engineering;2021-04-08
3. Enhanced intelligent driver model for two-dimensional motion planning in mixed traffic;Transportation Research Part C: Emerging Technologies;2020-11
4. Modelling lane changing behaviour in approaches to roadworks: Contrasting and combining driving simulator data with stated choice data;Transportation Research Part C: Emerging Technologies;2020-03
5. A driver’s car-following behavior prediction model based on multi-sensors data;EURASIP Journal on Wireless Communications and Networking;2020-01-08
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