Cooperative driving model for non-signalized intersections with cooperative games
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Central South University"
DOI: 10.1007/s11771-018-3905-6
Abstract: Cooperative driving around intersections has aroused increasing interest in the last five years. Meanwhile, driving safety in non-signalized intersections has become an issue that has attracted attention globally. In view of the potential collision risk… read more here.
Keywords: model non; cooperative driving; non signalized; driving model ... See more keywords
The evolution process of queues at signalized intersections under batch arrivals
Sign Up to like & getrecommendations! Published in 2018 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2018.03.059
Abstract: Abstract The randomness of queue formation and dissipation at signalized intersections is a very important feature of traffic phenomenon, which can be directly reflected by the dynamics and randomness of queue length during a signal… read more here.
Keywords: queue length; batch arrival; queues signalized; signalized intersections ... See more keywords
Connected vehicle-based red-light running prediction for adaptive signalized intersections
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Intelligent Transportation Systems"
DOI: 10.1080/15472450.2016.1215921
Abstract: ABSTRACT This article proposes a connected vehicle (CV)-based dynamic all-red extension (DARE) framework for adaptive signalized intersections to avoid potential crashes caused by red-light running (RLR) behavior. The conceptual framework consists of three components: CVs,… read more here.
Keywords: vehicle; red light; signalized intersections; prediction ... See more keywords
Turning Maneuver Prediction of Connected Vehicles at Signalized Intersections: A Dictionary Learning-Based Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3188312
Abstract: Vehicle-to-Infrastructure (V2I) communication has provided a solution for the improvement of the traffic efficiency of smart city intersections. For example, turning maneuvers prediction at signalized intersections in a connected environment helps traffic command centers time… read more here.
Keywords: maneuver; signalized intersections; based approach; prediction ... See more keywords
Comparing Roundabouts and Signalized Intersections Through Multiple- Model Simulation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3074787
Abstract: In modern transportation systems, more and more vehicles result in severe traffic congestion, affecting our daily life and modern logistics. Well-designed traffic infrastructures play an important role in implementing safe and efficient traffic systems. From… read more here.
Keywords: time; volume traffic; signalized intersections; traffic ... See more keywords
Hierarchical Energy-Efficient Control for CAVs at Multiple Signalized Intersections Considering Queue Effects
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3105964
Abstract: The rapid development of connected vehicles (CVs) has offered novel opportunities for eco-driving control. Considering inherent spatial and temporal constraints from the preceding vehicle, multiple signalized intersections, and queues, this paper proposes a hierarchical energy-efficient… read more here.
Keywords: signalized intersections; control; energy; energy efficient ... See more keywords
Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3145798
Abstract: Taking advantage of both vehicle-to-everything (V2X) communication and automated driving technology, connected and automated vehicles are quickly becoming one of the transformative solutions to many transportation problems. However, in a mixed traffic environment at signalized… read more here.
Keywords: reinforcement learning; signalized intersections; traffic; eco driving ... See more keywords
Vehicle Trajectory Reconstruction at Signalized Intersections Under Connected and Automated Vehicle Environment
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3150577
Abstract: Vehicle trajectories can provide a clear picture of traffic flow, which facilitates traffic state estimation and signal control optimization at intersections. Connected and Automated Vehicles (CAVs) can not only report their own trajectories, but also… read more here.
Keywords: environment; signalized intersections; intersections connected; trajectory ... See more keywords
Heads-Up Green in Connected Traffic Signals
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3197919
Abstract: Information-sharing between traffic signals and connected vehicles can enhance the traffic conditions in signalized intersections. We propose a straightforward application, heads-up green, with the aim to inform queuing connected vehicles about a switch from red… read more here.
Keywords: time; heads green; signalized intersections; connected vehicles ... See more keywords
Hybrid Recurrent Neural Network Modeling for Traffic Delay Prediction at Signalized Intersections Along an Urban Arterial
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3201880
Abstract: This paper studies the traffic delay prediction modeling for multiple signalized intersections along the Ala Moana Boulevard and Nimitz Highway in Hawaii. Several machine learning (ML) based approaches have been studied in the literature, and… read more here.
Keywords: traffic delay; traffic; signalized intersections; delay prediction ... See more keywords
Approximate Inference of Traffic Flow State at Signalized Intersections Using a Bayesian Learning Framework
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2023.3247895
Abstract: Model-based traffic state estimation is used to reproduce traffic flow states from available observation data to assist traffic control and management. Owing to temporal and spatial observation limitations, numerous unknown traffic states and parameters exist… read more here.
Keywords: state; signalized intersections; traffic; bayesian learning ... See more keywords