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Srinivas Pulugurtha
Srinivas Pulugurtha
Professor of Civil & Environmental Engineering, The University of North Carolina at Charlotte
Verified email at uncc.edu
Title
Cited by
Cited by
Year
New methods to identify and rank high pedestrian crash zones: An illustration
SS Pulugurtha, VK Krishnakumar, SS Nambisan
Accident Analysis & Prevention 39 (4), 800-811, 2007
2372007
Optimal scheduling of urban transit systems using genetic algorithms
P Chakroborty, K Deb, PS Subrahmanyam
Journal of transportation Engineering 121 (6), 544-553, 1995
1951995
Pedestrian crash estimation models for signalized intersections
SS Pulugurtha, VR Sambhara
Accident Analysis & Prevention 43 (1), 439-446, 2011
1932011
Traffic analysis zone level crash estimation models based on land use characteristics
SS Pulugurtha, VR Duddu, Y Kotagiri
Accident Analysis & Prevention 50, 678-687, 2013
1762013
Assessment of models to measure pedestrian activity at signalized intersections
SS Pulugurtha, SR Repaka
Transportation Research Record 2073 (1), 39-48, 2008
1022008
Evaluating the effectiveness of on-street bicycle lane and assessing risk to bicyclists in Charlotte, North Carolina
SS Pulugurtha, V Thakur
Accident Analysis & Prevention 76, 34-41, 2015
782015
Risk drivers pose to themselves and other drivers by violating traffic rules
P Penmetsa, SS Pulugurtha
Traffic injury prevention 18 (1), 63-69, 2017
662017
Assessment of models to estimate bus-stop level transit ridership using spatial modeling methods
SS Pulugurtha, M Agurla
Journal of Public Transportation 15 (1), 33-52, 2012
662012
Are pedestrian countdown signals effective in reducing crashes?
SS Pulugurtha, A Desai, NM Pulugurtha
Traffic injury prevention 11 (6), 632-641, 2010
552010
Effectiveness of red light running camera enforcement program in reducing crashes: Evaluation using “before the installation”,“after the installation”, and “after the …
SS Pulugurtha, R Otturu
Accident Analysis & Prevention 64, 9-17, 2014
492014
Evaluating effectiveness of infrastructure-based countermeasures for pedestrian safety
SS Pulugurtha, V Vasudevan, SS Nambisan, MR Dangeti
Transportation research record 2299 (1), 100-109, 2012
472012
Hazardous bus stops identification: An illustration using GIS
SS Pulugurtha, VK Vanapalli
Journal of Public Transportation 11 (2), 65-83, 2008
462008
Crash risk factors associated with injury severity of teen drivers
VR Duddu, VM Kukkapalli, SS Pulugurtha
IATSS research 43 (1), 37-43, 2019
452019
Exploring pedestrian surrogate safety measures by road geometry at midblock crosswalks: A perspective under mixed traffic conditions
A Chaudhari, N Gore, S Arkatkar, G Joshi, S Pulugurtha
IATSS research 45 (1), 87-101, 2021
432021
Principle of demographic gravitation to estimate annual average daily traffic: Comparison of statistical and neural network models
VR Duddu, SS Pulugurtha
Journal of Transportation Engineering 139 (6), 585-595, 2013
412013
Effectiveness of automatic pedestrian detection device and smart lighting for pedestrian safety
SS Nambisan, SS Pulugurtha, V Vasudevan, MR Dangeti, V Virupaksha
Transportation research record 2140 (1), 27-34, 2009
402009
Evaluating the role of weaving section characteristics and traffic on crashes in weaving areas
SS Pulugurtha, J Bhatt
Traffic injury prevention 11 (1), 104-113, 2010
392010
Modeling crash injury severity by road feature to improve safety
P Penmetsa, SS Pulugurtha
Traffic injury prevention 19 (1), 102-109, 2018
372018
Examining the influence of network, land use, and demographic characteristics to estimate the number of bicycle-vehicle crashes on urban roads
KK Mukoko, SS Pulugurtha
IATSS research 44 (1), 8-16, 2020
332020
Modeling and comparing injury severity of at-fault and not at-fault drivers in crashes
VR Duddu, P Penmetsa, SS Pulugurtha
Accident Analysis & Prevention 120, 55-63, 2018
332018
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