Car-Following Models: A Multidisciplinary Review [PDF]
Car-following (CF) algorithms are crucial components of traffic simulations and have been integrated into many production vehicles equipped with Advanced Driving Assistance Systems (ADAS). Insights from the model of car-following behavior help us understand the causes of various macro phenomena that arise from interactions between pairs of vehicles ...
Benedetto Piccoli +2 more
exaly +4 more sources
The platform of a microscopic traffic simulation provides an opportunity to study the driving behavior of vehicles on a roadway system. Compared to traditional conventional cars with human drivers, the car-following behaviors of autonomous vehicles (AVs)
Hafiz Usman Ahmed, Ying Huang, Pan Lu
doaj +4 more sources
An Investigation into the Appropriateness of Car-Following Models in Assessing Autonomous Vehicles [PDF]
The dramatic progress of Intelligent Transportation Systems (ITS) has made autodriving technology extensively emphasised. Various models have been developed for the aim of modelling the behaviour of autonomous vehicles and their impacts on traffic ...
Akito Higatani, Wafaa Saleh
doaj +2 more sources
An Intelligent Evolving Car-Following Model
The existing data-driven car-following models do not take structural and range variations of velocity and acceleration into account. This paper develops a new approach to address both structural and range variations in the car-following process through ...
Majid Abdollahzade, Reza Kazemi
doaj +2 more sources
Identifying suitable car-following models to simulate automated vehicles on highways
This study addresses car-following models that are currently used for simulating AV and CAV. Diverse car-following models, Intelligent Driver Model (IDM), Improved IDM (IIDM), IIDM with Constant-Acceleration Heuristic (CAH), and MIcroscopic model for ...
Bumsik Kim, Kevin P. Heaslip
doaj +2 more sources
Parameter calibration method for car-following models under snowy weather conditions: Integrating an informer time series encoder and physics-informed neural networks. [PDF]
Under snowy weather conditions, factors such as road conditions and weather conditions significantly affect vehicle car-following behavior. Traditional car-following models struggle to accurately capture driving characteristics on slippery roads.
Yaping Sun +3 more
doaj +2 more sources
Fusion Modeling Method of Car-Following Characteristics [PDF]
Car-following model is indispensable to evaluate the characteristics of car-following behaviors. Through an analysis and comparison of data-driven and theoretically driven car-following models, it shows that the data-driven model has poor ...
Yufang Li +3 more
doaj +2 more sources
Task-Difficulty Homeostasis in Car Following Models: Experimental Validation Using Self-Paced Visual Occlusion. [PDF]
Car following (CF) models used in traffic engineering are often criticized for not incorporating "human factors" well known to affect driving. Some recent work has addressed this by augmenting the CF models with the Task-Capability Interface (TCI) model,
Jami Pekkanen +3 more
doaj +2 more sources
A behavioral microeconomic foundation for car-following models
Abstract The objective of this paper is to develop a micro-economic modeling approach for car-following behaviors that may capture different risk-taking tendencies when dealing with different traffic conditions. The proposed framework allows for the consideration of perception subjectivity and judgement errors that may lead to unsafe acceleration ...
Samer H. Hamdar +3 more
openaire +2 more sources
Flexible car–following models for mixed traffic and weak lane–discipline conditions
Heterogeneous mixture of vehicle types and lack of lane discipline are common characteristics of cities in the developing countries. These conditions lead to driving manoeuvres that combine both longitudinal and lateral movements.
Vasileia Papathanasopoulou +1 more
doaj +2 more sources

