Vikash Gayah

Affiliate Researcher
Titles and Affiliations
Professor, Civil and Environmental Engineering

Research Summary

Dr. Gayah's research interests are in the areas of urban mobility, traffic flow theory, transportation operations, transportation network modeling, and transportation safety.

In the News

Research Keywords

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Recent Publications

Copula-based bivariate count data regression models for simultaneous estimation of crash counts based on severity and number of vehicles

Ahmad, N., Gayah, V. V. & Donnell, E. T., Mar 2023, In: Accident Analysis and Prevention. 181, 106928.

Research output: Contribution to journalArticlepeer-review

A population-based incremental learning algorithm to identify optimal location of left-turn restrictions in urban grid networks

Bayrak, M., Yu, Z. & Gayah, V. V., 2023, In: Transportmetrica B. 11, 1, p. 528-547 20 p.

Research output: Contribution to journalArticlepeer-review

Decentralized arterial traffic signal optimization with connected vehicle information

Liang, X., Guler, S. I. & Gayah, V. V., 2023, In: Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. 27, 2, p. 145-160 16 p.

Research output: Contribution to journalArticlepeer-review

Scale effects in ridesplitting: A case study of the City of Chicago

Liu, H., Devunuri, S., Lehe, L. & Gayah, V. V., Jul 2023, In: Transportation Research Part A: Policy and Practice. 173, 103690.

Research output: Contribution to journalArticlepeer-review

Total-delay-based Max Pressure: A Max Pressure Algorithm Considering Delay Equity

Liu, H. & Gayah, V. V., Jun 2023, In: Transportation Research Record. 2677, 6, p. 324-339 16 p.

Research output: Contribution to journalArticlepeer-review

Crash classification based on manner of collision: a comparative analysis

Mahmud, A., Sengupta, A. & Gayah, V. V., 2023, (Accepted/In press) In: Transportation Letters.

Research output: Contribution to journalArticlepeer-review

Estimation of crash type frequency accounting for misclassification in crash data

Mahmud, A., Gayah, V. V. & Paleti, R., May 2023, In: Accident Analysis and Prevention. 184, 106998.

Research output: Contribution to journalArticlepeer-review

Estimation of VMT using heteroskedastic log-linear regression models

Mahmud, A., Hamilton, I., Gayah, V. V. & Porter, R. J., 2023, (Accepted/In press) In: Transportation Letters.

Research output: Contribution to journalArticlepeer-review

Do existing split failure metrics accurately reflect pedestrian operation at signalized intersections?

Runa, F., Guler, S. I. & Gayah, V. V., 2023, (Accepted/In press) In: International Journal of Transportation Science and Technology.

Research output: Contribution to journalArticlepeer-review

Development and evaluation of frameworks for real-time bus passenger occupancy prediction

Wood, J., Yu, Z. & Gayah, V. V., Jun 2023, In: International Journal of Transportation Science and Technology. 12, 2, p. 399-413 15 p.

Research output: Contribution to journalArticlepeer-review

Non-unimodal and non-concave relationships in the network Macroscopic Fundamental Diagram caused by hierarchical streets

Xu, G. & Gayah, V. V., Jul 2023, In: Transportation Research Part B: Methodological. 173, p. 203-227 25 p.

Research output: Contribution to journalArticlepeer-review

Opposing Hysteresis Patterns in Flow and Outflow Macroscopic Fundamental Diagrams and Their Implications

Xu, G., Zhang, P., Gayah, V. V. & Hu, X., Aug 2023, In: Transportation Research Record. 2677, 8, p. 100-117 18 p.

Research output: Contribution to journalArticlepeer-review

Simulation analysis of urban network performance under link disruptions: Impacts of information provisions in different street configurations

Yu, Z. & Gayah, V. V., 2023, In: Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. 27, 4, p. 471-487 17 p.

Research output: Contribution to journalArticlepeer-review

Improving Deep Reinforcement Learning-Based Perimeter Metering Control Methods With Domain Control Knowledge

Zhou, D. & Gayah, V. V., Jul 2023, In: Transportation Research Record. 2677, 7, p. 384-405 22 p.

Research output: Contribution to journalArticlepeer-review

Scalable multi-region perimeter metering control for urban networks: A multi-agent deep reinforcement learning approach

Zhou, D. & Gayah, V. V., Mar 2023, In: Transportation Research Part C: Emerging Technologies. 148, 104033.

Research output: Contribution to journalArticlepeer-review