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Published in 2021 at "Autonomous Agents and Multi-Agent Systems"
DOI: 10.1007/s10458-021-09499-6
Abstract: Microscopic agent-based traffic simulation is an important tool for the efficient and safe resolution of various traffic challenges accompanying the introduction of autonomous vehicles on the roads. Both the variety of questions that can be…
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Keywords:
traffic;
traffic simulation;
control;
scenario ... See more keywords
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Published in 2017 at "European Transport Research Review"
DOI: 10.1007/s12544-017-0276-2
Abstract: IntroductionThe time headway of vehicles is of fundamental importance in traffic engineering applications like capacity, level-of-service and safety studies. Further, the performance of traffic simulation depends on inputs into the simulation process and ‘accurate vehicle…
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Keywords:
traffic;
study;
two lane;
headway ... See more keywords
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Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.1387
Abstract: Abstract Safe autonomous passing of intersections with mixed traffic, including human drivers and autonomous vehicles, is challenging. We propose a tailored approach that provides guarantees despite uncertainties fusing learned models and model predictive control. A…
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Keywords:
human driving;
control;
predictive control;
mixed traffic ... See more keywords
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Published in 2017 at "Journal of Traffic and Transportation Engineering"
DOI: 10.1016/j.jtte.2017.05.004
Abstract: Abstract Traffic on Indian roads is highly mixed in nature with wide variations in the static and dynamic characteristics of vehicles. These vehicles do not follow strict lane discipline and occupy any available lateral position…
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Keywords:
traffic;
undivided roads;
overtaking behaviour;
vehicles undivided ... See more keywords
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Published in 2019 at "Journal of Traffic and Transportation Engineering"
DOI: 10.1016/j.jtte.2019.05.005
Abstract: Abstract Under mixed traffic conditions prevailing on Indian roads, drivers show complex response when faced with yellow signal because lane assignment gets dynamic in nature. The present study analyzes the effect of surrounding vehicles on…
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Keywords:
traffic;
driver;
response;
mixed traffic ... See more keywords
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Published in 2019 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2019.121789
Abstract: Abstract Due to the accessibility for connected vehicle (CV) to obtain the V2X covered traffic conditions and signal phase and timing (SPaT) information, the CV becomes able to follow its predecessors and adjust its speed…
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Keywords:
speed;
mixed traffic;
consensus optimal;
signalized intersection ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-11779-0
Abstract: Managing unsignalized intersections is further developed in the context of automated driving with vehicle-road coordination. In this context, the virtual platoon of lining vehicles into a one-dimensional virtual queue is based on a fully automated…
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Keywords:
vehicle platoon;
vehicle;
platoon;
intersection ... See more keywords
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Published in 2025 at "IET Intelligent Transport Systems"
DOI: 10.1049/itr2.70126
Abstract: The effective management of connected and autonomous electric vehicle (CAEV) fleets is critical for realising their potential to create safer and more efficient urban transportation systems. As CAEVs increasingly share the road with conventional vehicles,…
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Keywords:
charging strategy;
time;
autonomous electric;
connected autonomous ... See more keywords
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Published in 2024 at "Traffic Injury Prevention"
DOI: 10.1080/15389588.2023.2291337
Abstract: Abstract Objectives With the growing market penetration of connected and autonomous vehicles (CAVs), the interaction between conventional human-driven vehicles (HDVs) and CAVs will be inevitable. However, the effects of CAVs in mixed traffic streams have…
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Keywords:
mixed traffic;
autonomous vehicles;
safety environment;
connected autonomous ... See more keywords
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Published in 2022 at "Journal of Intelligent Transportation Systems"
DOI: 10.1080/15472450.2022.2046472
Abstract: Abstract This manuscript presents an Adam optimization-based Deep Reinforcement Learning model for Mixed Traffic Flow control (ADRL-MTF), so as to guide Connected and Autonomous vehicle’s (CAV) longitudinal trajectory on a typical urban roadway with signal-controlled…
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Keywords:
reinforcement learning;
deep reinforcement;
mixed traffic;
model ... See more keywords
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Published in 2023 at "International journal of injury control and safety promotion"
DOI: 10.1080/17457300.2023.2172736
Abstract: Various studies have investigated the relationship between speed and accidents using different definitions of speed variation. This research considers the speed in mixed traffic as heterogeneous based on the vehicle categories. This research aims to…
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Keywords:
speed;
speed heterogeneity;
heterogeneity accident;
traffic ... See more keywords