Dr. Gayah

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Rearch Summary Dr. Gayah's rearch terts are the areas of urban mobily, traffic flow theory, transportatn operatns, transportatn work molg, and transportatn safety.

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R GAYAH

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Gayah’s rearch traffic operatns seeks to velop and apply novel methods to scribe the aggregate oute of vehicle and astcture teractns across large urban transportatn systems. Intifitn of stabili that arise ngted works and their impacts on MFDs and methods to migate the stabili (Daganzo et al, 2011; Gayah and Daganzo, 2011a; Gayah and Daganzo, 2011b; J et al, 2013; Gayah et al, 2014; Gan et al, 2017; Keyvan-Ekbatani et al, 2019);.

Development of methods to timate MFDs g probe vehicle data (Gayah and Dix, 2013; Nagle and Gayah, 2014; Tsubota et al, 2015; Du et al, 2015) and traffic flow theory (Xu and Gayah, 2020);. Two-way street layouts urban areas and has intified hybrid strategi to improve work efficiency via the rtrictn of left-turns at signalized tersectns on two-way street works (Gayah and Daganzo, 2012; Ortigosa et al, 2015; DePrator et al, 2017; Ortigosa et al, 2019; Yu and Gayah, 2020; Bayrak and Gayah, 2021; Yu and Gayah, 2022).

DR. GAYAH

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Extensn of existg analytil methods to exame the disptns ed by b stops or other temporary obstctns loted near signalized tersectns (Gu et al, 2013; Gu et al, 2014; Gayah et al, 2015; Wu et al, 2017);. Gayah has participated numero projects to quantify safety performance of roadway segments and tersectns, as well as to asss the impacts of specific safety untermeasur.

Gayah currently serv as an edorial advisory board member of Transportatn Rearch Part C: Emergg Technologi and Accint Analysis and Preventn, an edorial board edor of Transportatn Rearch Part B: Methodologil, an associate edor for the IEEE Intelligent Transportatn Systems Magaze (an ternatnal peer-reviewed journal), a handlg edor for the Transportatn Rearch Rerd. Eric J Gonzalez, Joshua M Pilachowski, Vikash Van Gayah, Michael Jam Cassidy and Carlos Daganzo, 2010, Public Transportatn Systems: Mi-Projects and Homework Exercis, Electronic text,.

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Jonathan Wood, Zhengyao Yu and Vikash Van Gayah, 2022, "Real-time b passenger occupancy predictn wh regrsn mols and a mache learng mol", Internatnal Journal of Transportatn Science and Technology. Zhengyao Yu, Guanhao Xu, Vikash Van Gayah and Eleni Christofa, 2022, "Inrporatg phase rotatn to a person-based signal timg optimizatn algorhm", IEEE Transactns on Intelligent Transportatn Systems, 23, (1), pp. Xiao Liang, Sran Ilg Guler and Vikash Van Gayah, 2022, "Decentralized arterial traffic signal optimizatn wh Connected Vehicle rmatn", Journal of Intelligent Transportatn Systems.

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Zhengyao Yu and Vikash Van Gayah, 2022, "Simulatn analysis of urban work performance unr lk disptns: Impacts of rmatn provisns different street nfiguratns", Journal of Intelligent Transportatn Systems.

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Murat Bayrak, Zhengyao Yu and Vikash Van Gayah, 2022, "A populatn-based cremental learng algorhm to intify optimal lotn of left-turn rtrictns urban grid works", Transportmetria B: Transport Dynamics.

Asif Mahmud, Vikash Van Gayah and Rajh Paleti, 2022, "A latent choice mol to analyze the role of prelimary preferenc shapg observed choic", Transportatn Rearch Part B: Methodologil, 161, pp.

Stt Him, Jam Bonnon, Vikash Van Gayah and Cathy Liu, 2022, "Safety predictn method for eeway facili wh High Occupancy lan", Transportatn Rearch Rerd: Journal of the Transportatn Rearch Board, 2676, (8), pp.

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