Results 21 to 30 of about 86 (82)

Reinforcement Learning–Based Ramp Metering Strategy Considering Queue Management

open access: yesJournal of Advanced Transportation, Volume 2025, Issue 1, 2025.
This paper introduces an action replacement module for reinforcement learning (RL)–based ramp metering to address the issue of ramp queue spillback during the training process. Ramp queue spillback leads to significant impacts on the traffic efficiency of adjacent road networks, making it a critical concern in ramp control. Existing RL approaches often
Yang Yang   +4 more
wiley   +1 more source

Traffic Signal Setting at Urban Junctions and Fundamental Diagram: A Before–After Study

open access: yesJournal of Advanced Transportation, Volume 2025, Issue 1, 2025.
The paper analyses the effects of modifying traffic light regulations at urban road junctions, focussing on the ratio between green time and cycle time, as a function of vehicular traffic variables (flows, density and speed) on the links. The analyses are conducted in an urban setting using a before‐and‐after approach, employing traffic data detected ...
Borja Alonso   +4 more
wiley   +1 more source

Effectiveness Evaluation of Signal Coordination Based on Spatially Sparse Trajectory Data

open access: yesJournal of Advanced Transportation, Volume 2025, Issue 1, 2025.
Signal coordination is an effective measure to improve the traffic efficiency of urban road networks, and network partition is an important part of it. Existing studies have proposed indicators based on the characteristics of arterial geometry and traffic flow to determine adjacent intersections that are suitable for signal coordination. However, it is
Yuxuan Sun   +3 more
wiley   +1 more source

Presidential Address: Macrofinance and Resilience

open access: yesThe Journal of Finance, Volume 79, Issue 6, Page 3683-3728, December 2024.
ABSTRACT This address reviews macrofinance from the perspective of resilience. It argues for a shift in mindset, away from risk management toward resilience management. It proposes a new resilience measure, and contrasts micro‐ and macro‐resilience.
MARKUS K. BRUNNERMEIER
wiley   +1 more source

Optimizing traffic signal control for continuous‐flow intersections: Benchmarking against a state‐of‐practice model

open access: yesIET Intelligent Transport Systems, Volume 18, Issue 11, Page 2152-2165, November 2024.
This paper introduces an optimization model for traffic signal control at continuous‐flow intersections, showing a reduction in average delay by 17% and average queue length by 32% compared to a standard model, across various travel demand scenarios.
Yining Hu   +3 more
wiley   +1 more source

Integrated corridor management by cooperative traffic signal and ramp metering control

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 39, Issue 16, Page 2439-2456, 15 August 2024.
Abstract This paper formulates a cooperative traffic control methodology that integrates traffic signal timing and ramp metering decisions into an optimization model to improve traffic operations in a corridor network. A mixed integer linear model is formulated and is solved in real time within a model predictive controller framework, where the cell ...
Abdullah Al Farabi   +5 more
wiley   +1 more source

Trajectory Planning for Multiple Autonomous Vehicles at Short‐Distance Tandem Signalized Intersections Based on Rule‐Free Framework

open access: yesAdvanced Intelligent Systems, Volume 6, Issue 6, June 2024.
Herein, a rule‐free trajectory planning framework for multiple Autonomous Vehicles (AVs) is designed to optimizing flow distribution between upstream and downstream intersections of mixed flow at near‐saturated short‐distance tandem signalized intersections. The framework can be used to explore optimal efficiency for mixed flow and better heterogeneous
Wenfeng Lin, Xiaowei Hu, Jian Wang
wiley   +1 more source

Freeway congestion management on multiple consecutive bottlenecks with RL‐based headway control of autonomous vehicles

open access: yesIET Intelligent Transport Systems, Volume 18, Issue 6, Page 1137-1163, June 2024.
A dynamic headway control strategy is proposed based on deep reinforcement learning (DRL) that adapts the desired time headways based on real‐time traffic conditions to optimize traffic flow and minimize delay. Abstract Adaptive cruise control (ACC) is the core building block of future full autonomous driving. Numerous recent research demonstrated that
Lina Elmorshedy   +2 more
wiley   +1 more source

Passenger-oriented distributed traffic signal control using dynamic programming with vehicle queue spillback and waiting time constraints

open access: yesPassenger-oriented distributed traffic signal control using dynamic programming with vehicle queue spillback and waiting time constraints
identifier:oai:t2r2.star.titech.ac.jp ...
Kanae Iizuka, Toru Seo
openaire   +2 more sources

COVID-19, public agglomerations and economic effects: Assessing the recovery time of passenger transport services in Brazil. [PDF]

open access: yesTransp Policy (Oxf), 2021
Betarelli Junior AA   +4 more
europepmc   +1 more source

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