Results 11 to 20 of about 262,883 (261)
World Electric Vehicle Journal, 2023 To address traffic congestion in urban expressways during the transition from wide to narrow sections, this study proposed a car-following strategy based on deep reinforcement learning.
Pinpin Qin +4 more
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Comfort and Safety in Conditional Automated Driving in Dependence on Personal Driving Behavior
IEEE Open Journal of Intelligent Transportation Systems, 2023 When changing from active driving to conditional automated driving (CAD), the question arises whether users still prefer their own driving behavior while being a passenger.
Laurin Vasile +4 more
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The Design and Testing of a Novel Leader-following Automatic Guide Vehicle
ES General, 2023 Vehicle following technology is essential for the autonomous operation of intelligent electric vehicles under the current net-zero objective. This paper presents an innovative automated vehicle following system based on Raspberry Pi and multi-sensors ...
Handong Li +5 more
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Action-points in human driving and in SUMO
SUMO Conference Proceedings, 2022 When following a vehicle, drivers change their acceleration at so called action-points (AP), and keep it constant in between them. By investigating a large data-set of car-following data, the state- and time-distributions of the APs is analyzed.
Peter Wagner +2 more
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A Reinforcement Learning Framework for Video Frame-Based Autonomous Car-Following
IEEE Open Journal of Intelligent Transportation Systems, 2021 Car-following theory has received considerable attention as a core component of Intelligent Transportation Systems. However, its application to the emerging autonomous vehicles (AVs) remains an unexplored research area.
Mehdi Masmoudi +3 more
doaj +1 more source
SICE Journal of Control, Measurement, and System Integration, 2023 Eco-driving control is a key technology for achieving carbon neutrality of vehicles equipped with automated-driving systems and advanced driver-assistance systems.
Shinsaku Yoshinaka +5 more
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Driver Behavior Modeling Toward Autonomous Vehicles: Comprehensive Review
IEEE Access, 2023 Driver behavior models have been used as input to self-coaching, accident prevention studies, and developing driver-assisting systems. In recent years, driver behavior recognition has revolutionized autonomous vehicles (AVs) and traffic management ...
Natnael M. Negash, James Yang
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Interactive Car-Following: Matters but NOT Always
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023 Accepted by 26th IEEE International Conference on Intelligent Transportation Systems ITSC ...
Chengyuan Zhang 0002 +5 more
openaire +2 more sources
Simulation of Road Capacity Considering the Influence of Buses
IEEE Access, 2019 The traditional cellular automata model cannot fully demonstrate the effect of buses on road capacity due to the incapable of considering the difference in dynamic performance and driving behaviors between buses and other vehicles. In this paper, a novel
Jinxing Shen +3 more
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Journal of Sensor and Actuator Networks, 2020 One of the current topics of interest in transportation science is the use of intelligent computation and IoT (Internet of Things) technologies. Researchers have proposed many approaches using these concepts, but the most widely used concept in road ...
Mădălin-Dorin Pop +2 more
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