Results 61 to 70 of about 2,737,750 (202)
Joint longitudinal-lateral trajectory planning for CAVs in mixed traffic at signalized intersections
Mandatory lane changes (MLCs) pose significant challenges to trajectory planning at intersections, where vehicles are required to change lanes mid-block to reach designated turn lanes before the stop bar.
Xingwei Jiang, Meng Li, Qingquan Liu
doaj +1 more source
Autonomous vehicles (AVs) are emerging with enormous potentials to solve many challenging road traffic problems. The AV emergence leads to a paradigm shift in the road traffic system, making the penetration of autonomous vehicles fast and its coexistence
Ekene F. Ozioko +2 more
doaj +1 more source
Heterogeneous Mixed Traffic Control and Coordination
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS ...
Iftekharul Islam +4 more
openaire +4 more sources
A Cell Automation Traffic Flow Model for Mixed Traffic
AbstractBased on the existing research on cellular automata traffic flow model, this paper proposed an improved model for mixed traffic flow in real-time traffic data environment in China. Driver's characteristic is defined according to the NS model and the FI model.
Chen, Guangjiao +4 more
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This study aims to measure the values of passenger car unit (PCU) at a four-legged roundabout based on the time occupancy data in complex traffic operation.
Sugiarto Sugiarto +3 more
doaj +1 more source
Oregon traffic safety performance plan. Annual report
This archived document is maintained by the Oregon State Library as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Fiscal year 1998-Vols.
core
Independence-Monmouth Traffic Safety Management Program (TSMP)
Cover letter title: Independence-Monmouth Traffic Safety Management Program (TSMP).At head of title: Preliminary."July 1981.""OTSC Project #81-02-5-609."This archived document is maintained by the State Library of Oregon as part of the Oregon Documents ...
core
Safe Merging in Mixed Traffic with Confidence
In this letter, we present an approach for learning human driving behavior, without relying on specific model structures or prior distributions, in a mixed-traffic environment where connected and automated vehicles (CAVs) coexist with human-driven vehicles (HDVs). We employ conformal prediction to obtain theoretical safety guarantees and use real-world
Heeseung Bang +2 more
openaire +3 more sources
Simulation of Mixed Traffic Flows
развитие и внедрение автономных транспортных средств требует создания модели смешанного транспортного потока. Разрабатываемая модель может использоваться для оценки влияния автопилотов на транспортный поток, а в дальнейшем – для управления транспортной сетью. Существующих моделей, созданных на основе водителей-людей, недостаточно.
openaire +1 more source
michigan-traffic-lab/osaas-public
<p>Please check out <a href="../doi/10.5281/zenodo.10493793">the up-to-date version</a> or go to <a href="https://github.com/michigan-traffic-lab/osaas-public">https://github.com/michigan-traffic-lab/osaas-public</a> for ...
Michigan Traffic Lab
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