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Vesal Ahsani
Vesal Ahsani
Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran
Verified email at ee.sharif.edu
Title
Cited by
Cited by
Year
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
1352018
Quantitative analysis of probe data characteristics: Coverage, speed bias and congestion detection precision
V Ahsani, M Amin-Naseri, S Knickerbocker, A Sharma
Journal of Intelligent Transportation Systems 23 (2), 103-119, 2019
532019
Evaluation of opportunities and challenges of using INRIX data for real-time performance monitoring and historical trend assessment
A Sharma, V Ahsani, S Rawat
322017
Unlocking metaverse-as-a-service the three pillars to watch: Privacy and security, edge computing, and blockchain
V Ahsani, A Rahimi, M Letafati, BH Khalaj
arXiv preprint arXiv:2301.01221, 2023
102023
Comparison of machine learning algorithms to determine traffic congestion from camera images
S Poddar, K Ozcan, P Chakraborty, V Ahsani, A Sharma, S Sarkar
Transportation Research Board 97th annual meeting, Washington, DC, 7-11, 2018
62018
Improving probe-based congestion performance metrics accuracy by using change point detection
V Ahsani, A Sharma, C Hegde, S Knickerbocker, N Hawkins
Journal of Big Data Analytics in Transportation 2, 61-74, 2020
52020
Assessing the impact of game day schedule and opponents on travel patterns and route choice using big data analytics
A Sharma, V Ahsani
12019
A Novel Metaverse-as-a-Service Architecture from an Operator View
V Ahsani, A Rahimi, M Letafati, BH Khalaj
2023 IEEE International Conference on Metaverse Computing, Networking and …, 2023
2023
Real-Time Traffic Incident Detection Using Dynamic Time Warping Algorithm
V Ahsani, A Sharma
Acta Scientific Computer Sciences 5 (1), 30-39, 2022
2022
The Spatial Estimation of Expected Accident Frequency of Rural Divided Four-Lane Highways in Order to Exposure Variables and Cmf (Case Study: Main Roads Network of Hamedan …
AR Bakhshi, H Khaksar, SA Almasi, V Ahsani, S Abdollahi Lashaki
Available at SSRN 4067001, 2022
2022
Big data driven assessment of probe-sourced data
V Ahsani
Iowa State University, 2019
2019
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