Prof. Srinivas S. Pulugurtha
The University of Mississippi, USA
Chair & Professor of Civil Engineering
Email: [email protected]
Qualifications
1998 Ph.D., Univ. of Nevada, Las Vegas, Civil Engineering
1995 M.S., Indian Institute of Technology, Civil Engineering
1992 B.S., Nagarjuna Univ., Civil Engineering
Publications(Selected)
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Anbumani, M., & Pulugurtha, S. S. (2026). Driving equity forward: Prioritizing connected autonomous shuttle implementation around transit stations for inclusive mobility. International Conference on Transportation and Development 2026, 234–244.
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Bamney, S., Jain, J., & Pulugurtha, S. S. (2026). Pathways to adopting microtransit: Examining the role of older adults' usability perceptions and willingness to use in Mississippi. Journal of Transport & Health, 51, Article 102396.
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Gajera, H., Gore, N., & Pulugurtha, S. S. (2026). Microsimulation and extreme value theory to assess the effect of varying levels of automated vehicles on crash risk. Journal of Traffic and Transportation Engineering (English Edition), 13(2), 227–235.
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Ogungbire, A., & Pulugurtha, S. (2026). Weather-related crash risk forecasting: A deep learning approach for heterogenous spatiotemporal data. arXiv preprint arXiv:2603.04551.
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Chepuri, A., Arkatkar, S. S., Joshi, G., et al. (2025). Assessing bus user’s perception using structural equation modelling. Australian Journal of Civil Engineering, 23(2), 227–235.
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Diba, D. S. (2025). Integration of autonomous shuttles: Deployment strategies and perspectives of stakeholders and users (Doctoral dissertation, University of North Carolina at Charlotte).
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Diba, D. S., Gore, N., & Pulugurtha, S. S. (2025). Integrating autonomous shuttles: Insights, challenges, and strategic solutions from practitioners and industry experts’ perceptions. Future Transportation, 5(1), Article 9.
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Gajera, H., & Pulugurtha, S. S. (2025). How users’ familiarity, perception of policy restrictions, and effects of AVs influence their willingness to ride them. Vehicles, 7(2), Article 34.
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Gajera, H., Pulugurtha, S. S., Gore, N., et al. (2025). Modeling and estimating the effect of a mix of varying levels of automated vehicles on operational performance of urban freeways. Transportation Research Record, 2679(3), 1054–1075.
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Grandhi, A., Gore, N., & Pulugurtha, S. S. (2025). Mixed-effects model to assess the effect of disengagements on speed of an automated shuttle with sensors for localization, navigation, and obstacle detection. Sensors, 25(2), Article 573.
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Kalambay, P., & Pulugurtha, S. S. (2025). Modeling pedestrian near-crash events at a rectangular rapid flashing beacon-controlled intersection using video analytics and long short-term memory neural network. Transportation Research Record, 2679(2), 935–948.
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Ogungbire, A., & Pulugurtha, S. S. (2025). Spatiotemporal risk mapping of statewide weather-related traffic crashes: A machine learning approach. Machine Learning with Applications, 20, Article 100642.
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Pulugurtha, S. S. (2025). Equity analysis for long range transportation planning. Transportation Research Board.
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Zhu, L., Pulugurtha, S., Yuan, R., et al. (2025). Characterizing shared E-scooter travel patterns using comprehensive travel data in Charlotte, NC. International Conference on Transportation and Development 2025, 337–348.
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Gajera, H., & Pulugurtha, S. S. (2024). Fatal crashes involving vehicles with driver warning systems: Identifying risk factors using a correlated random parameters ordered logit modeling approach. Heliyon, 10(12), Article e32845.
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Golchin, M., Grandhi, A., Gore, N., et al. (2024). UNC Charlotte autonomous shuttle pilot study: An assessment of operational performance, reliability, and challenges. Machines, 12(11), Article 796.
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Hosseini, S. S., Ardabili, B. R., Azarbayjani, M., et al. (2024). Understanding the transit gap: A comparative study of on-demand bus services and urban climate resilience in South End, Charlotte, NC and Avondale, Chattanooga, TN. arXiv preprint arXiv:2403.14671.
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Huda, K. T., Chen, Y., Chen, D., et al. (2024). Time series analysis of highway work zone crashes in North Carolina. International Conference on Transportation and Development 2024, 117–127.
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Kalambay, P., & Pulugurtha, S. S. (2024). Data-driven exploration of traffic speed patterns to identify potential road links for variable speed limit sign implementation. Urban, Planning and Transport Research, 12(1), Article 2319711.
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Ogungbire, A., Kalambay, P., & Pulugurtha, S. S. (2024). Exploring the effect of mountainous terrain on weather-related crashes. IATSS Research, 48(2), 136–146.
Profile Details
https://olemiss.edu/profiles/sp.php
https://scholar.google.com/citations?user=Q9yS96IAAAAJ&hl=en
https://www.researchgate.net/profile/Srinivas-Pulugurtha/3
WOS ResearcherID: FVJ-5193-2022