Vikash V. Gayah

Orcid: 0000-0002-0648-3360

According to our database1, Vikash V. Gayah authored at least 22 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
C-MP: A decentralized adaptive-coordinated traffic signal control using the Max Pressure framework.
CoRR, 2024

A Max Pressure Algorithm for Traffic Signals Considering Pedestrian Queues.
CoRR, 2024

OCC-MP: A Max-Pressure framework to prioritize transit and high occupancy vehicles.
CoRR, 2024

2023
Simulation analysis of urban network performance under link disruptions: Impacts of information provisions in different street configurations.
J. Intell. Transp. Syst., July, 2023

Decentralized arterial traffic signal optimization with connected vehicle information.
J. Intell. Transp. Syst., March, 2023

Evaluating the reliability of automatically generated pedestrian and bicycle crash surrogates.
CoRR, 2023

2022
Incorporating Phase Rotation Into a Person-Based Signal Timing Optimization Algorithm.
IEEE Trans. Intell. Transp. Syst., 2022

2020
Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation.
SIGKDD Explor., 2020

2019
Diagnosing Reinforcement Learning for Traffic Signal Control.
CoRR, 2019

A Survey on Traffic Signal Control Methods.
CoRR, 2019

PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Implementing phase rotation in a person-based signal timing optimization framework.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

A Scalable and Computationally Efficient Connected Vehicle-Based Signal Control Algorithm.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017
Analysis of Traffic Statics and Dynamics in Signalized Networks: A Poincaré Map Approach.
Transp. Sci., 2017

2015
Dynamic Prediction of Vehicle Cluster Distribution in Mixed Traffic: A Statistical Mechanics-Inspired Method.
IEEE Trans. Intell. Transp. Syst., 2015

Design and Evaluation of Network Control Strategies Using the Macroscopic Fundamental Diagram.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014
Relationship between mean and day-to-day variation in travel time in urban networks.
EURO J. Transp. Logist., 2014

Statistical mechanics-inspired framework for studying the effects of mixed traffic flows on highway congestion.
Proceedings of the American Control Conference, 2014

2013
A method to estimate the macroscopic fundamental diagram using limited mobile probe data.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

2012
The potential of parsimonious models for understanding large scale transportation systems and answering big picture questions.
EURO J. Transp. Logist., 2012

2007
Crash Risk Assessment Using Intelligent Transportation Systems Data and Real-Time Intervention Strategies to Improve Safety on Freeways.
J. Intell. Transp. Syst., 2007

2006
Evaluating ITS strategies for real-time freeway safety improvement.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2006


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