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-objective deep reinforcement learning approach for adaptive traffic signal control system with concurrent optimization of safety, efficiency, and decarbonization at intersections https://trid.trb.org/View/2343489 Wed, 20 Mar 2024 10:11:35 GMT https://trid.trb.org/View/2343489 Cooperative Incident Management in Mixed Traffic of CAVs and Human-Driven Vehicles https://trid.trb.org/View/2307004 Thu, 29 Feb 2024 11:32:16 GMT https://trid.trb.org/View/2307004 Modified dynamic programming algorithms for GLOSA systems with stochastic signal switching times https://trid.trb.org/View/2269029 Mon, 20 Nov 2023 09:12:22 GMT https://trid.trb.org/View/2269029 Optimization of Vehicle Trajectories Considering Uncertainty in Actuated Traffic Signal Timings https://trid.trb.org/View/2211609 Mon, 30 Oct 2023 08:55:11 GMT https://trid.trb.org/View/2211609 VMD-LSTM Urban Arterial Short-Term Traffic Forecasting Based on Spatio-Temporal Clustering https://trid.trb.org/View/2237610 Tue, 26 Sep 2023 16:04:45 GMT https://trid.trb.org/View/2237610 Assessment of the Infrastructure Readiness for Connected Vehicle to Infrastructure Applications on Arterial Streets https://trid.trb.org/View/2247614 Tue, 19 Sep 2023 09:32:23 GMT https://trid.trb.org/View/2247614 Deep Reinforcement Learning-Based Short-Term Traffic Signal Optimizing Using Disaggregated Vehicle Data https://trid.trb.org/View/2221027 Wed, 13 Sep 2023 10:23:11 GMT https://trid.trb.org/View/2221027 Deep Reinforcement Q-Learning for Intelligent Traffic Signal Control with Partial Detection https://trid.trb.org/View/2143631 Thu, 18 May 2023 17:08:47 GMT https://trid.trb.org/View/2143631 Intersection Actuated Signal Phase and Timing Algorithms in Connected Vehicle Environment https://trid.trb.org/View/2000494 Mon, 27 Mar 2023 15:09:24 GMT https://trid.trb.org/View/2000494 A decentralized intersection management system through collaborative negotiation between smart signals https://trid.trb.org/View/2111941 Mon, 27 Feb 2023 08:51:33 GMT https://trid.trb.org/View/2111941 Intersection Management Protocol for Mixed Autonomous and Human-Operated Vehicles https://trid.trb.org/View/2040148 Fri, 30 Dec 2022 16:58:39 GMT https://trid.trb.org/View/2040148 Traffic Signal Controller Interface https://trid.trb.org/View/2005228 Mon, 24 Oct 2022 16:09:23 GMT https://trid.trb.org/View/2005228 Advanced Gap Seeking Logic for Actuated Signal Control Using Vehicle Trajectory Data: Proof of Concept https://trid.trb.org/View/2001668 Mon, 01 Aug 2022 14:21:35 GMT https://trid.trb.org/View/2001668 Traffic-Responsive Control Technique for Fully-Actuated Coordinated Signals https://trid.trb.org/View/1971138 $N$ cycles for each. A vehicle detector is placed on every approach lane to detect time headways and actuate the coordinated and uncoordinated phases. Control center creates the background plans for all the intersections once per cycle set. The fully-actuated logic settings are directly determined by the timing parameters of the background plans in signal controllers. Signal controllers operate the fully-actuated logic and yield the expected greens of the 1st through the $(N-1)^{\mathrm{ th}}$ cycles of the current cycle set for the coordinated and uncoordinated phases. After the $N^{\mathrm{ th}}$ cycle starts, the expected greens are sent to control center. Control center processes the expected greens generated in the past cycles of the day and feeds them into Brown’s double exponential smoothing to predict the expected base greens of the next cycle set. They pave the way to stepwise creating the new background plan without using any optimization models. The simulation results indicated that the TCT-enabled intersections could reactively vary their vehicle handling capacity to accommodate the variation in the vehicle demand. In contrast to the conventional control technique for fully-actuated coordinated signals, TCT could provide more progression opportunities to the coordinated movement and serve vehicles with less number of stops and equivalent delay from a system-wide perspective.]]> Thu, 21 Jul 2022 11:30:36 GMT https://trid.trb.org/View/1971138 The Effect of Speed Limits and Traffic Signal Control on Emissions https://trid.trb.org/View/1946372 Tue, 24 May 2022 10:09:44 GMT https://trid.trb.org/View/1946372