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 | 240 | 2007 |
Pedestrian crash estimation models for signalized intersections SS Pulugurtha, VR Sambhara Accident Analysis & Prevention 43 (1), 439-446, 2011 | 200 | 2011 |
Optimal scheduling of urban transit systems using genetic algorithms P Chakroborty, K Deb, PS Subrahmanyam Journal of transportation Engineering 121 (6), 544-553, 1995 | 197 | 1995 |
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 | 181 | 2013 |
Assessment of models to measure pedestrian activity at signalized intersections SS Pulugurtha, SR Repaka Transportation Research Record 2073 (1), 39-48, 2008 | 103 | 2008 |
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 | 81 | 2015 |
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 | 70 | 2012 |
Risk drivers pose to themselves and other drivers by violating traffic rules P Penmetsa, SS Pulugurtha Traffic injury prevention 18 (1), 63-69, 2017 | 68 | 2017 |
Are pedestrian countdown signals effective in reducing crashes? SS Pulugurtha, A Desai, NM Pulugurtha Traffic injury prevention 11 (6), 632-641, 2010 | 57 | 2010 |
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 | 51 | 2021 |
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 | 51 | 2014 |
Crash risk factors associated with injury severity of teen drivers VR Duddu, VM Kukkapalli, SS Pulugurtha IATSS research 43 (1), 37-43, 2019 | 50 | 2019 |
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 | 49 | 2012 |
Hazardous bus stops identification: An illustration using GIS SS Pulugurtha, VK Vanapalli Journal of Public Transportation 11 (2), 65-83, 2008 | 49 | 2008 |
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 | 44 | 2013 |
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 | 44 | 2009 |
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 | 40 | 2010 |
Modeling crash injury severity by road feature to improve safety P Penmetsa, SS Pulugurtha Traffic injury prevention 19 (1), 102-109, 2018 | 39 | 2018 |
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 | 36 | 2018 |
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 | 34 | 2020 |