Results 41 to 50 of about 363 (120)
Presidential Address: Macrofinance and Resilience
The 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
What Is an Effective Way to Measure Arterial Demand When It Exceeds Capacity? [PDF]
, 2021 This project focused on developing and evaluating methods for estimating demand volume for oversaturated corridors. Measuring demand directly with vehicle sensors is not possible when demand is larger than capacity for an extended period, as the queue ...
Cetin, Mecit +4 more
core +1 more source
Model Predictive Control of a Road Junction [PDF]
, 2020 This paper presents a model predictive control (MPC) approach for optimally managing the traffic light (TL) signals at a road junction. The objective is to improve queue balancing compared to traditional control strategies where TL signals are periodic ...
Francesco Liberati
core +1 more source
IET 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
Left-turn queue spillback identification based on single-section license plate recognition data
Transportmetrica B: Transport DynamicsLeft-turn queue spillback occurs when the queue of left-turn or adjacent through traffic exceeds the channelized section's capacity, resulting in discharge flow breakdown and inefficient use of green time. License plate recognition (LPR) systems, which offer lane-based data on individual vehicle discharging, present an ideal data source for the ...
Wu, Hao +3 more
openaire +1 more source
Integrated corridor management by cooperative traffic signal and ramp metering control
Computer-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
Mitigating network congestion:analytical models, optimization methods and their applications [PDF]
, 2009 Congestion is a phenomenon that arises in a variety of contexts. The most familiar representation is urban traffic congestion. Nonetheless, phenomenons such as prison cell congestion, hospital bed blocking or, at a cellular scale, ribosome congestion ...
Osorio, Carolina
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Advanced 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
Cooperative traffic control of a mixed network with two urban regions and a freeway [PDF]
, 2013 Currently most optimization methods for urban transport networks (i) are suited for networks with simplified dynamics that are far from real-sized networks or (ii) apply decentralized control, which is not appropriate for heterogeneously loaded networks ...
Geroliminis, Nikolaos +2 more
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IET 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