Gaussian Process Regression for Tail Vehicle Departure Time Prediction at Signalized Intersections Using UAV Trajectory Data. [PDF]
Lu K, Liu Z, Zhang R, Xia Q, Wang R.
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Fueling Tomorrow: Scenario Planning for the Future of Gas Stations
ABSTRACT Transport electrification is reshaping the service infrastructures that mediate everyday mobility, yet most electrification scenario studies remain macrolevel and offer limited insight into how incumbent forecourt (gas‐station) networks can adapt under deep uncertainty.
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Esters of Mandelic Acid as a Basis for Chiral Eutectic Solvents: An Investigation of Physical Properties and Enantioselectivity. [PDF]
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Impacts of autonomous vehicles on freeway with conditional isolated and dedicated lanes. [PDF]
Chang Q, Chen H.
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City-scale high-resolution traffic datasets with refined networks for hierarchical traffic control. [PDF]
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Online Centralized MPC for Lane Merging in Vehicle Platoons. [PDF]
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Simulation study of freeway work zone scenes for autonomous driving using Simulink and PreScan. [PDF]
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Modeling the Impact of Lane-Changing's Anticipation on Car-Following Behavior
SSRN Electronic Journal, 2022Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
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Understanding the human behaviors in driving is a highly complex topic but on the other hand, extremely important for improving human's driving competence by developing driver assistant systems accordingly and finally accomplishing fully autonomous vehicles and road systems. There are many excellent researches in this area for decades.
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