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Effects of Upstream Signal-Induced Arrival Interruptions on Delays at a...

Delay is a critical measure when evaluating level of service under interrupted flow conditions and is widely used to assess operational improvements and optimize traffic signals. However, existing...

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Predicting the Frequency and Duration of Turn-Bay Spillovers and Mutual Lane...

Accurate prediction of queue sizes, spillovers, and lane blockages is critical for urban signal control and traffic management but remains challenging due to the time-varying and spatially...

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Integrated Pressure-Based Extensions with Trajectory-Aware Actuated Control:...

Pressure-based traffic signal control and actuation-based traffic signal control have some desirable properties such as decentralized control, the capability to make continuous decisions, the ability...

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Domain Adaptation Framework for Turning Movement Count Estimation with...

Accurate turning movement counts (TMCs) at intersections are crucial for traffic signal control, congestion mitigation, and road safety. Recent advancements in machine learning and data-driven...

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Dual-Layer Machine Learning Approach for Predicting Switching Times of...

To enable green light optimal speed advisory systems and similar cooperative traffic applications, accurate predictions of traffic signal switching times are mandatory. However, in the case of...

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Multi-Intersection Traffic Signal Control Based on Multi-agent Reinforcement...

Adaptive traffic signal control has been widely investigated for several decades as an effective solution to mitigate urban traffic congestion. Recently, Multi-agent Reinforcement Learning (MARL) has...

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Signal Timing Optimization for Mixed Connected Automated Traffic Based on a...

Connected automated vehicles (CAVs) offer unparalleled opportunities to revolutionize existing transportation systems. In the near future, CAVs and human-driven vehicles (HDVs) are expected to coexist,...

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A Systematic Data-Driven Framework for Evaluating Changes on Traffic Signal...

Transport agencies worldwide regularly assess the state of traffic corridors and make necessary changes to enhance performance. It is important to systematically evaluate the effect of these changes to...

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Network-Level Vehicle Delay Estimation at Heterogeneous Signalized Intersections

Accurate vehicle delay estimation is crucial for assessing signalized-intersection performance and guiding traffic management. Traditional machine-learning models often assume identical distributions...

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A Literature Review on the Integration of Game Theory and Artificial...

In the twenty-first century, artificial intelligence (AI) has been one of the most promising breakthroughs in computer science, revolutionizing intelligent transportation systems (ITS). Among the...

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Enhancing Traffic Management for Connected Vehicles using Deep Learning with...

With the exponential increase in vehicles and traffic congestion, next-generation traffic light monitoring & control systems (NTLMCS) are crucial for improving traffic management. These systems...

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Evaluating Pedestrian Safety and Service at Alternative Intersections with...

Intersections constitute an important part of transportation infrastructure, with conventional intersection designs being the most dominant. However, these conventional designs might face operational...

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Best Practices In Regional, Multiagency Traffic Signal Operations Management

This report summarizes the findings from a scan workshop of domestic regional traffic signal operations programs in the United States. The scan’s purpose was to examine the different types of...

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Developing Combined Crash Modification Factors: Challenges, Lessons Learned,...

Combining crash modification factors (CMFs) often involves merging multiple CMFs to establish a unified CMF for either the same safety treatment or the overall effect of implementing multiple safety...

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Max-Pressure Signal Control with Transit Priority and Lane Blockage...

Urban traffic congestion remains a critical issue, intensifying with ongoing urbanization and increasing traffic volumes. While “max-pressure” (MP) control has emerged as a robust, decentralized...

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Multimodal Signal Control in Coordinated and Free Transit Priority Corridor:...

This study supports the City of Pittsburgh’s SmartPGH initiative by evaluating advanced pedestrian signal strategies designed to enhance safety and multimodal mobility on high-demand urban corridors....

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Signal Control Optimization Method Considering the Effect of Pedestrian...

The continuous increase in traffic organization refinement requirements is prompting signal control for pedestrian friendliness to receive more attention. Under signal control, pedestrian waiting...

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Mitigating General Transit Feed Specification Message Delays Using Time...

As a preferential treatment at signalized intersections, Transit Signal Priority (TSP) remains a key technology for enhancing transit performance. Recently, TSP systems based on General Transit Feed...

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Multi-Intersection Traffic Signal Control With Deep Q Network Softmax...

With the continuous increase of urban traffic flow, the intelligence of traffic signal control (TSC) has become an important means to improve traffic efficiency. Among them, the deep reinforcement...

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Short Right-Turn Lanes and Auxiliary Through Lanes: Intersection Capacity,...

Some intersection approaches have right-turn lanes and/or auxiliary through lanes that are short in the sense that during the queuing process, entry to these lanes can be blocked by the queue in the...

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Browsing index pages (205 articles)


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