LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "ramp merging" as a keyword



Photo from academic.microsoft.com

Cooperative Ramp Merging Design and Field Implementation: A Digital Twin Approach Based on Vehicle-to-Cloud Communication

Sign Up to like & get
recommendations! Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2020.3045123

Abstract: Specialize in motion planning and control, driver behavior modeling, and cloud computing. Published one book chapter, more than 30 refereed papers in premier journals and conference proceedings, and filed more than 30 U.S. patents, all… read more here.

Keywords: transportation systems; transportation; merging design; cooperative ramp ... See more keywords

On-Ramp Merging Strategies of Connected and Automated Vehicles Considering Communication Delay

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2022.3140219

Abstract: Improper handling of on-ramp merging may cause severe decrease of traffic efficiency and contribute to lower fuel economy, even increasing the collision risk. Cooperative control for connected and automated vehicles (CAVs) has the potential to… read more here.

Keywords: ramp merging; communication delay; communication; v2i communication ... See more keywords

Decentralized Human-Like Ramp Merging Decision-Making and Control Based on a Stochastic Potential Game

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2025.3576347

Abstract: Freeway ramp merging control in the mixed traffic consisting of connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) is one of the bottlenecks in the development of autonomous driving (AD) technologies due to complex… read more here.

Keywords: human like; control; potential game; decentralized human ... See more keywords

Multi-Option Hierarchical Reinforcement Learning Framework With State Segmentation for Mixed On-Ramp Merging

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2025.3611296

Abstract: Deep Reinforcement Learning (DRL) has achieved significant advancements in the transportation domain, effectively enhancing traffic network efficiency, reducing pollutant emissions, and improving driving safety. A prominent approach within DRL, Hierarchical Reinforcement Learning (HRL), simplifies complex… read more here.

Keywords: framework; ramp merging; reinforcement learning; state ... See more keywords

Game Theory-Based Ramp Merging for Mixed Traffic With Unity-SUMO Co-Simulation

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"

DOI: 10.1109/tsmc.2021.3131431

Abstract: Ramp merging is considered to be one of the major causes of traffic accidents and congestion due to its inherent chaotic nature. With the development of the connected and automated vehicle (CAV) technology, CAVs can… read more here.

Keywords: traffic; mixed traffic; ramp merging; game theory ... See more keywords

Integrated Motion Planning for On-Ramp Merging Based on Stackelberg Game Modeling Considering Interactive Characteristics

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Transactions on Vehicular Technology"

DOI: 10.1109/tvt.2025.3554978

Abstract: Efficient and safe on-ramp merging is crucial for mitigating traffic congestion and enhancing vehicle safety. In this paper, an integrated framework for decision-making and trajectory planning in on-ramp merging scenarios is proposed. First, adequate longitudinal… read more here.

Keywords: ramp; planning ramp; stackelberg game; vehicle ... See more keywords

Deep reinforcement learning-based multi-lane mixed traffic ramp merging strategy

Sign Up to like & get
recommendations! Published in 2025 at "PLOS One"

DOI: 10.1371/journal.pone.0331986

Abstract: Due to concentrated conflicts, on-ramp merging is an important scenario in the study of new hybrid traffic control. Current research mainly focuses on optimizing the vehicle passage sequence of ramp vehicles merging with mainline vehicles… read more here.

Keywords: merging strategy; ramp merging; strategy; lane ... See more keywords

Resolving the Classic Resource Allocation Conflict in On-Ramp Merging: A Regionally Coordinated Nash-Advantage Decomposition Deep Q-Network Approach for Connected and Automated Vehicles

Sign Up to like & get
recommendations! Published in 2025 at "Sustainability"

DOI: 10.3390/su17177826

Abstract: To improve the traffic efficiency of connected and automated vehicles (CAVs) in on-ramp merging areas, this study proposes a novel region-level multi-agent reinforcement learning framework, Regionally Coordinated Nash-Advantage Decomposition Deep Q-Network with Conflict-Aware Q Fusion… read more here.

Keywords: advantage; connected automated; advantage decomposition; automated vehicles ... See more keywords

Co-Optimization of On-Ramp Merging and Plug-In Hybrid Electric Vehicle Power Split Using Deep Reinforcement Learning

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"

DOI: 10.48550/arxiv.2203.03113

Abstract: Current research on Deep ReinforcementLearning (DRL) for automated on-ramp merging neglects vehicle powertrain and dynamics. This work considers automated on-ramp merging for a power-split Plug-In Hybrid Electric Vehicle (PHEV), the 2015 Toyota Prius Plug-In, using… read more here.

Keywords: vehicle; power split; ramp; ramp merging ... See more keywords