Results 21 to 30 of about 4,154,700 (310)
Do drivers change their manual car-following behaviour after automated car-following? [PDF]
Cognition, Technology & Work, 2020 AbstractThere is evidence that drivers’ behaviour adapts after using different advanced driving assistance systems. For instance, drivers’ headway during car-following reduces after using adaptive cruise control. However, little is known about whether, and how, drivers’ behaviour will change if they experience automated car-following, and how this is ...
Tyron Louw +6 more
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World Electric Vehicle Journal, 2023 Despite the significant impact of network hyperparameters on deep learning car-following models, there has been relatively little research on network hyperparameters of deep learning car-following models.
Pinpin Qin +5 more
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IMPACT OF FOG ON DYNAMIC PARAMETERS OF VEHICLES IN MIXED TRAFFIC [PDF]
Scientific Journal of Silesian University of Technology. Series TransportThe impact of fog on vehicle behavior under weak-lane discipline and heterogeneous traffic – typical of Indian highways – has not been adequately explored.
Angshuman PANDIT, Anuj Kishor BUDHKAR
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Empirical Description of Car-Following [PDF]
, 2007 This contribution reports a recently recorded data-set that helps to understand the car-following process better. Since the empirical basis of most traffic flow models can be called weak, these findings may help to design better models. They demonstrate, that the process of car-following seems to have a very interestic stochastic dynamics.
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Comparative Evaluation of Microscopic Car-Following Behavior [PDF]
IEEE Transactions on Intelligent Transportation Systems, 2005 Microscopic traffic-simulation tools are increasingly being applied to evaluate the impacts of a wide variety of intelligent transport, systems (ITS) applications and other dynamic problems that are difficult to solve using traditional analytical models. The accuracy of a traffic-simulation system depends highly on the quality of the traffic-flow model
Sakda Panwai, Hussein Dia
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Sensors, 2019 Car-following is an essential trajectory control strategy for the autonomous vehicle, which not only improves traffic efficiency, but also reduces fuel consumption and emissions.
Kai Gao +6 more
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Modelling of Driver and Pedestrian Behaviour – A Historical Review
Promet (Zagreb), 2020 Driver and pedestrian behaviour significantly affect the safety and the flow of traffic at the microscopic and macroscopic levels. The driver behaviour models describe the driver decisions made in different traffic flow conditions.
Karlo Babojelić, Luka Novacko
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A Car-Following Data Collecting Method Based on Binocular Stereo Vision
IEEE Access, 2020 This study proposes the design, implementation, and application of a new car-following data collecting method based on binocular stereo vision system.
Yongfei Liu +3 more
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A Heterogeneity-Aware Car-Following Model: Based on the XGBoost Method
AlgorithmsWith the rising popularity of the Advanced Driver Assistance System (ADAS), there is an increasing demand for more human-like car-following performance.
Kefei Zhu +4 more
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SUMO’s Interpretation of the Krauß Model
SUMO Conference ProceedingsThis work gives a short impression on the long history of SUMO's default car-following model, the one according to Stefan Krauß. It tries to summarize some of the ideas that were needed to change a beautiful theoretical model into a versatile and ...
Peter Wagner, Jakob Erdmann
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