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View article: Analysis of bus dwell times from automated passenger count data and the impact of dwell-time variability on the performance of transit signal priority
Analysis of bus dwell times from automated passenger count data and the impact of dwell-time variability on the performance of transit signal priority Open
The design of transit signal priority (TSP) systems requires knowledge of dwell-time distributions at bus stops within the block. Dwell-time trends are not well established in the literature despite the ubiquity of large sets of automated …
View article: Adaptive Traffic Signal Control based on Multi-Agent Reinforcement Learning. Case Study on a simulated real-world corridor
Adaptive Traffic Signal Control based on Multi-Agent Reinforcement Learning. Case Study on a simulated real-world corridor Open
Previous studies that have formulated multi-agent reinforcement learning (RL) algorithms for adaptive traffic signal control have primarily used value-based RL methods. However, recent literature has shown that policy-based methods may per…
View article: Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control
Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control Open
This study integrates Transit Signal Priority (TSP) into multi-agent reinforcement learning (MARL) based traffic signal control. The first part of the study develops adaptive signal control based on MARL for a pair of coordinated intersect…
View article: Adaptive Transit Signal Priority based on Deep Reinforcement Learning and Connected Vehicles in a Traffic Microsimulation Environment
Adaptive Transit Signal Priority based on Deep Reinforcement Learning and Connected Vehicles in a Traffic Microsimulation Environment Open
Model free reinforcement learning (RL) provides a potential alternative to earlier formulations of adaptive transit signal priority (TSP) algorithms based on mathematical programming that require complex and nonlinear objective functions. …
View article: Integration of Decentralized Graph-Based Multi-Agent Reinforcement Learning with Digital Twin for Traffic Signal Optimization
Integration of Decentralized Graph-Based Multi-Agent Reinforcement Learning with Digital Twin for Traffic Signal Optimization Open
Machine learning (ML) methods, particularly Reinforcement Learning (RL), have gained widespread attention for optimizing traffic signal control in intelligent transportation systems. However, existing ML approaches often exhibit limitation…
View article: Pedestrian-Involved Traffic Signal Optimization Using Decentralized Graph-based Multi-Agent Reinforcement Learning
Pedestrian-Involved Traffic Signal Optimization Using Decentralized Graph-based Multi-Agent Reinforcement Learning Open
Incorporating pedestrian movements in traffic signal timing optimization is essential for ensuring smooth and safe urban transportation systems. To develop an effective signal timing plan, it is crucial to comprehend how various pedestrian…
View article: Modeling Autonomous Vehicle-Targeted Aggressive Merging Behaviors in Mixed Traffic Environment
Modeling Autonomous Vehicle-Targeted Aggressive Merging Behaviors in Mixed Traffic Environment Open
Promising advances in Autonomous Vehicle (AV) technology have fueled industry and research fields to dedicate significant effort to the study of the integration of AVs into the traffic network. This study focuses on the transition phase be…
View article: Demographic Breakdown of Transit Rider Satisfaction
Demographic Breakdown of Transit Rider Satisfaction Open
With ridership declining nationally and transit agencies looking for innovative ways to maintain and attract riders, a more complex understanding of transit riders and their satisfaction could provide additional insight and guidance to ben…
View article: Traffic Signal Optimization by Integrating Reinforcement Learning and Digital Twins
Traffic Signal Optimization by Integrating Reinforcement Learning and Digital Twins Open
Machine learning (ML) methods, especially reinforcement learning (RL), have been widely considered for traffic signal optimization in intelligent transportation systems. Most of these ML methods are centralized, lacking in scalability and …
View article: A Three-Tier Incremental Approach for Development of Smart Corridor Digital Twins
A Three-Tier Incremental Approach for Development of Smart Corridor Digital Twins Open
Development of an arterial smart corridor digital twin requires the integration of real time data streams, data storage, and simulation model execution. This process may be complex, time consuming, and susceptible to errors. To aid in smar…
View article: STRIDE Project - Enabling the Shared Mobility Revolution - dataset
STRIDE Project - Enabling the Shared Mobility Revolution - dataset Open
This folder contains all the relevant data used (input and output) in the context of the STRIDE Project "Enabling the Shared Mobility Revolution" for the microscopic simulation analysis of curb environments.
View article: STRIDE Project - Enabling the Shared Mobility Revolution - dataset
STRIDE Project - Enabling the Shared Mobility Revolution - dataset Open
This folder contains all the relevant data used (input and output) in the context of the STRIDE Project "Enabling the Shared Mobility Revolution" for the microscopic simulation analysis of curb environments.
View article: AV-targeted Aggressive Merging Behavior SUMO Dataset
AV-targeted Aggressive Merging Behavior SUMO Dataset Open
SUMO input files with some sample output data are provided. SUMO version 1.6.0 was used.
View article: AV-targeted Aggressive Merging Behavior SUMO Dataset
AV-targeted Aggressive Merging Behavior SUMO Dataset Open
SUMO input files with some sample output data are provided. SUMO version 1.6.0 was used.
View article: Survey Data Results for Project Strategies for Mitigating Congestion in Small Urban and Rural Areas
Survey Data Results for Project Strategies for Mitigating Congestion in Small Urban and Rural Areas Open
File contains the Survey Data Results for Project Strategies for Mitigating Congestion in Small Urban and Rural Areas. Row 1 is the question number. Row 2 is the question. Remaining Rows are individual survey responses.
View article: Survey Data Results for Project Strategies for Mitigating Congestion in Small Urban and Rural Areas
Survey Data Results for Project Strategies for Mitigating Congestion in Small Urban and Rural Areas Open
File contains the Survey Data Results for Project Strategies for Mitigating Congestion in Small Urban and Rural Areas. Row 1 is the question number. Row 2 is the question. Remaining Rows are individual survey responses.
View article: STRIDE Project A - Trip Routing Choices, Diversion Prediction, and Traffic Management with Decentralized Traverler Information Data
STRIDE Project A - Trip Routing Choices, Diversion Prediction, and Traffic Management with Decentralized Traverler Information Data Open
This research aims to fill the gap of knowledge surrounding navigation apps by analyzing the impact of traffic routing smartphone applications on roadway facility selection. Freeway detector data used to develop a direct method to estimate…
View article: STRIDE Project A - Trip Routing Choices, Diversion Prediction, and Traffic Management with Decentralized Traverler Information Data
STRIDE Project A - Trip Routing Choices, Diversion Prediction, and Traffic Management with Decentralized Traverler Information Data Open
This research aims to fill the gap of knowledge surrounding navigation apps by analyzing the impact of traffic routing smartphone applications on roadway facility selection. Freeway detector data used to develop a direct method to estimate…
View article: EXPRESSION OF SEROTONIN RECEPTOR SUBTYPE 3A (5HT3A) ON RAT TRIGEMINAL SENSORY NEURONS.
EXPRESSION OF SEROTONIN RECEPTOR SUBTYPE 3A (5HT3A) ON RAT TRIGEMINAL SENSORY NEURONS. Open
Serotonin (5-hydroxytryptamine, 5HT) is a neurotransmitter and proinflammatory mediator found largely in the peripheral nervous system where it can initiate pain signaling. 5HT binds a variety of 5HT receptors on sensory nerve endings spec…
View article: “Yiwen zhi” 藝文志 (Treatise on Arts and Letters) Bibliography in Its Own Context
“Yiwen zhi” 藝文志 (Treatise on Arts and Letters) Bibliography in Its Own Context Open
On the shortlist of truly indispensable texts within early China studies, a special place is reserved for Ban Gu’s 班固 (32–92 CE) “Yiwen zhi” 藝文志 (Treatise on Arts and Letters), the oldest extant bibliography in the East Asian traditi…
View article: Machining of ZnSe grisms for the Rapid Infrared Imager Spectrograph (RIMAS): effect of diamond crystal orientation
Machining of ZnSe grisms for the Rapid Infrared Imager Spectrograph (RIMAS): effect of diamond crystal orientation Open
The Rapid Infrared Imager/Spectrograph (RIMAS) is an instrument designed to observe gamma ray burst afterglows. Dispersion in the moderate resolution mode (R~4000) is provided by ZnSe grisms: one covering the Y and J bands and the other co…
View article: Data-Driven Vehicle Trajectory Prediction
Data-Driven Vehicle Trajectory Prediction Open
Vehicle trajectory or route prediction is useful in online, data-driven transportation simulation to predict future traffic patterns and congestion, among other uses. The various approaches to route prediction have varying degrees of data …
View article: Robert Hooke: Tercentennial Studies
Robert Hooke: Tercentennial Studies Open
Book synopsis: Robert Hooke (1635-1703) was a genius whose wide-ranging achievements are at last receiving the recognition that they deserve. Long overshadowed by such eminent contemporaries as Sir Isaac Newton and Sir Christopher Wren, Ho…
View article: Evaluation of Video Detection System as a Traffic Data Collection Method
Evaluation of Video Detection System as a Traffic Data Collection Method Open
Traffic counts are one of the fundamental data sources for a variety of transportation applications ranging from assessment of current transportation system conditions to future transportation planning and forecasting. A variety of traffi…
View article: Efficient Execution of Replicated Transportation Simulations with Uncertain Vehicle Trajectories
Efficient Execution of Replicated Transportation Simulations with Uncertain Vehicle Trajectories Open
Many Dynamic Data-Driven Application Systems (DDDAS) use replicated simulations to project possible future system states. In many cases there are substantial similarities among these different replications. In other cases output statistics…