| Input–output and hybrid techniques for real-time prediction of delay and maximum queue length at signalized intersections A Sharma, DM Bullock, JA Bonneson Transportation Research Record 2035 (1), 69-80, 2007 | 282 | 2007 |
| The 7th ai city challenge M Naphade, S Wang, DC Anastasiu, Z Tang, MC Chang, Y Yao, L Zheng, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 277 | 2023 |
| Event-based data collection for generating actuated controller performance measures EJ Smaglik, A Sharma, DM Bullock, JR Sturdevant, G Duncan Transportation Research Record 2035 (1), 97-106, 2007 | 191 | 2007 |
| A deep‐learning‐based computer vision solution for construction vehicle detection S Arabi, A Haghighat, A Sharma Computer‐Aided Civil and Infrastructure Engineering 35 (7), 753-767, 2020 | 189* | 2020 |
| Traffic congestion detection from camera images using deep convolution neural networks P Chakraborty, YO Adu-Gyamfi, S Poddar, V Ahsani, A Sharma, S Sarkar Transportation Research Record 2672 (45), 222-231, 2018 | 158 | 2018 |
| Highway crash detection and risk estimation using deep learning T Huang, S Wang, A Sharma Accident Analysis & Prevention 135, 105392, 2020 | 157 | 2020 |
| A vision-based system for traffic anomaly detection using deep learning and decision trees A Aboah Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 124 | 2021 |
| Applications of deep learning in intelligent transportation systems AK Haghighat, V Ravichandra-Mouli, P Chakraborty, Y Esfandiari, S Arabi, ... Journal of Big Data Analytics in Transportation 2, 115-145, 2020 | 123 | 2020 |
| Safety impacts of signal-warning flashers and speed control at high-speed signalized intersections Z Wu, A Sharma, FL Mannering, S Wang Accident Analysis & Prevention 54, 90-98, 2013 | 121 | 2013 |
| Estimating dilemma zone hazard function at high speed isolated intersection A Sharma, D Bullock, S Peeta Transportation Research Part C: Emerging Technologies 19 (3), 400-412, 2011 | 115 | 2011 |
| Using the multivariate spatio-temporal Bayesian model to analyze traffic crashes by severity C Liu, A Sharma Analytic Methods in Accident Research 17, 14-31, 2018 | 106 | 2018 |
| The 2019 AI City Challenge. M Naphade, Z Tang, MC Chang, DC Anastasiu, A Sharma, R Chellappa, ... CVPR workshops 8, 2, 2019 | 103 | 2019 |
| Evaluating the reliability, coverage, and added value of crowdsourced traffic incident reports from Waze M Amin-Naseri, P Chakraborty, A Sharma, SB Gilbert, M Hong Transportation research record 2672 (43), 34-43, 2018 | 102 | 2018 |
| The 2018 nvidia ai city challenge M Naphade, MC Chang, A Sharma, DC Anastasiu, V Jagarlamudi, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 92 | 2018 |
| Exploring spatio-temporal effects in traffic crash trend analysis C Liu, A Sharma Analytic Methods in Accident Research 16, 104-116, 2017 | 87 | 2017 |
| Traffic flow through an intersection by reducing platoon interference A Sharma US Patent 9,412,271, 2016 | 86 | 2016 |
| Automated vehicle recognition with deep convolutional neural networks YO Adu-Gyamfi, SK Asare, A Sharma, T Titus Transportation Research Record 2645 (1), 113-122, 2017 | 83 | 2017 |
| Recasting dilemma zone design as a marginal cost–benefit problem A Sharma, DM Bullock, S Peeta Transportation Research Record 2035 (1), 88-96, 2007 | 70 | 2007 |
| A survey on driver behavior analysis from in-vehicle cameras J Wang, W Chai, A Venkatachalapathy, KL Tan, A Haghighat, ... IEEE Transactions on Intelligent Transportation Systems 23 (8), 10186-10209, 2021 | 67 | 2021 |
| Multivariate random parameters zero-inflated negative binomial regression for analyzing urban midblock crashes C Liu, M Zhao, W Li, A Sharma Analytic Methods in Accident Research 17, 32-46, 2018 | 64 | 2018 |
Pranamesh ChakrabortyAssistant Professor, IIT Kanpur確認したメール アドレス: iitk.ac.in