Results 1 to 10 of about 2,712,717 (312)
Task-Difficulty Homeostasis in Car Following Models: Experimental Validation Using Self-Paced Visual Occlusion. [PDF]
PLoS ONE, 2017 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 +5 more sources
Mamdani vs. Takagi-Sugeno Fuzzy Inference Systems in the Calibration of Continuous-Time Car-Following Models. [PDF]
Sensors (Basel), 2023 The transition to intelligent transportation systems (ITSs) is necessary to improve traffic flow in urban areas and reduce traffic congestion. Traffic modeling simplifies the understanding of the traffic paradigm and helps researchers to estimate traffic
Pop MD, Pescaru D, Micea MV.
europepmc +2 more sources
An Investigation into the Appropriateness of Car-Following Models in Assessing Autonomous Vehicles [PDF]
Sensors, 2021 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
Car-Following Models: A Multidisciplinary Review [PDF]
IEEE Transactions on Intelligent Vehicles, 2023 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 ...
Zhang, Tianya +8 more
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Smart Cities, 2021 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 +2 more sources
Identifying suitable car-following models to simulate automated vehicles on highways
International Journal of Transportation Science and Technology, 2023 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
An Intelligent Evolving Car-Following Model
IEEE Access, 2023 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
Calibrating car-following models via Bayesian dynamic regression
Transportation Research Part C: Emerging Technologies, 2023 Car-following behavior modeling is critical for understanding traffic flow dynamics and developing high-fidelity microscopic simulation models. Most existing impulse-response car-following models prioritize computational efficiency and interpretability by using a parsimonious nonlinear function based on immediate preceding state observations.
Chengyuan Zhang, Wenshuo Wang, Lijun Sun
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Flexible car–following models for mixed traffic and weak lane–discipline conditions
European Transport Research Review, 2018 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
SUMO Conference Proceedings, 2023 In this study, the physical principles governing car-following (CF) behavior and their impact on traffic flow at signalized intersections are investigated. High temporal-resolution radar data is used to provide valuable insights into actual CF behavior,
Max Schrader +2 more
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