Transport Research International Documentation (TRID) https://trid.trb.org/ en-us Copyright © 2024. National Academy of Sciences. All rights reserved. http://blogs.law.harvard.edu/tech/rss tris-trb@nas.edu (Bill McLeod) tris-trb@nas.edu (Bill McLeod) Transport Research International Documentation (TRID) https://trid.trb.org/Images/PageHeader-wTitle.jpg https://trid.trb.org/ Multi-Lane Coordinated Control Strategy of Connected and Automated Vehicles for On-Ramp Merging Area Based on Cooperative Game https://trid.trb.org/View/2307085 Tue, 12 Mar 2024 09:32:34 GMT https://trid.trb.org/View/2307085 Merging Implementation Criteria https://trid.trb.org/View/2344446 Thu, 22 Feb 2024 17:56:59 GMT https://trid.trb.org/View/2344446 Deep Multi-Agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic https://trid.trb.org/View/2306944 Thu, 22 Feb 2024 11:48:11 GMT https://trid.trb.org/View/2306944 Cooperative Merging Strategy in Mixed Traffic Based on Optimal Final-State Phase Diagram With Flexible Highway Merging Points https://trid.trb.org/View/2309227 Wed, 14 Feb 2024 09:15:49 GMT https://trid.trb.org/View/2309227 Collision-Free Merging Control Via Trajectory Optimization for Connected and Autonomous Vehicles https://trid.trb.org/View/2329863 Mon, 05 Feb 2024 09:35:14 GMT https://trid.trb.org/View/2329863 Double-Layer Optimal Control Method for On-Ramp Merging https://trid.trb.org/View/2237733 Mon, 29 Jan 2024 09:15:20 GMT https://trid.trb.org/View/2237733 Intervehicle Force-Based Distributed Control of Merging Connected and Automated Vehicles at On-Ramps on Highways https://trid.trb.org/View/2237725 Mon, 29 Jan 2024 09:15:20 GMT https://trid.trb.org/View/2237725 A Multi-Vehicle Game-Theoretic Framework for Decision Making and Planning of Autonomous Vehicles in Mixed Traffic https://trid.trb.org/View/2321620 Fri, 26 Jan 2024 10:02:59 GMT https://trid.trb.org/View/2321620 Cooperative On-Ramp Merging Control Model for Mixed Traffic on Multi-Lane Freeways https://trid.trb.org/View/2309196 50%). Furthermore, the CORMC model has the potential to increase merging and mainline throughput by over 75% at sufficiently high CAV penetration rates. Comparison of three control strategies shows that the APS algorithm plays an important role in the CORMC model. A comparison with the Simulation of Urban Mobility (SUMO) indicates that the CORMC model significantly mitigates the propagation of congestion waves across varying levels of CAV penetration and on-ramp flow rates.]]> Tue, 23 Jan 2024 09:16:37 GMT https://trid.trb.org/View/2309196 Regulation requirements on automated driving systems in unsignalized intersections https://trid.trb.org/View/2314600 Fri, 12 Jan 2024 11:27:30 GMT https://trid.trb.org/View/2314600 Cooperative Roundabout Control Strategy for Connected and Autonomous Vehicles https://trid.trb.org/View/2319938 Fri, 12 Jan 2024 11:27:12 GMT https://trid.trb.org/View/2319938 Traffic Performance of Successive Freeway Merge Segments https://trid.trb.org/View/2319209 Mon, 08 Jan 2024 12:20:36 GMT https://trid.trb.org/View/2319209 A cooperative merging speed control strategy of CAVs based on virtual platoon in on-ramp merging system https://trid.trb.org/View/2289718 Fri, 01 Dec 2023 09:11:38 GMT https://trid.trb.org/View/2289718 Speed Profile Generation Strategy for Efficient Merging of Automated Vehicles on Roundabouts With Realistic Traffic https://trid.trb.org/View/2186723 Mon, 20 Nov 2023 09:12:23 GMT https://trid.trb.org/View/2186723 Deep Q-Network-Enabled Platoon Merging Approach for Autonomous Vehicles https://trid.trb.org/View/2283419 Mon, 30 Oct 2023 16:42:08 GMT https://trid.trb.org/View/2283419