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Teja Tallam
Teja Tallam
Assistant Professor, VNR VJIET
在 VNRVJIET.IN 的电子邮件经过验证
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引用次数
引用次数
年份
Short-term traffic prediction using fb-prophet and neural-prophet
NK ChikkaKrishna, P Rachakonda, T Tallam
2022 IEEE Delhi Section Conference (DELCON), 1-4, 2022
372022
Application of Machine Learning Techniques in Delay Modelling for Heterogenous Signalized Intersections
RT Sriram, T Teja, NK Chikkakrishna
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile …, 2020
72020
Applying Support Vector Classifiers for Analysis of Pedestrian-Vehicular Conflicts at Unsignalized Crosswalk
NK Chikkakrishna, T Tallam, JS Pala, SR Teja, DD Kumar
2019 IEEE 16th India Council International Conference (INDICON), 1-4, 2019
72019
Vehicle Pedestrian Interaction Analysis at Unsignalized Intersection using Trajectory Data
KR Muppa, T Tallam
IOP Conference Series: Earth and Environmental Science 982 (1), 012057, 2022
62022
Short Term Predictions of Traffic Flow Characteristics using ML Techniques
BR Kumar, NK Chikkakrishna, T Tallam
2020 4th International Conference on Electronics, Communication and …, 2020
62020
Determination of level-of-service for public transport: a case study for hyderabad metro
T Tallam, H Yallabandi, C Naveen Kumar
Advances in Civil Engineering: Select Proceedings of ARICE 2019, 439-451, 2020
42020
Assessment of ride quality and road roughness by measuring the response from a vehicle mounted Android smartphone
L Kumar, T Tallam, CN Kumar
IOP Conference Series: Earth and Environmental Science 982 (1), 012062, 2022
32022
Evaluating Vehicle Pedestrian Interaction at Unsignalised Junction Using Trajectory Data
MK Reddy, NK ChikkaKrishna, T Tallam, L Kumar, SP Reddy
2022 IEEE Delhi Section Conference (DELCON), 1-5, 2022
32022
Analysis of Urban Traffic Bottleneck in Hyderabad city using Machine Learning Techniques
P Naresh, T Tallam, NK Chikkakrishna
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile …, 2020
32020
Determination of pedestrian level of service at signalized midblock locations for mixed traffic conditions
T Tallam, KML Rao
Int J Recent Technol Eng (IJRTE) 8, 2751-2755, 2020
32020
Response type road roughness measuring system from a vehicle mounted Android smartphone
L Kumar, T Tallam, NK ChikkaKrishna, MK Reddy, SP Reddy
2022 IEEE Delhi Section Conference (DELCON), 1-4, 2022
22022
Calibration of Fundamental Flow Model for Pedestrian Sidewalks in Urban Areas
N Chintawar, T Tallam, KM Lakshmana Rao
Advances in Civil Engineering: Select Proceedings of ARICE 2019, 427-437, 2021
22021
Pothole detection and dimension estimation by deep learning
SS Ch, T Tallam
IOP Conference Series: Earth and Environmental Science 1326 (1), 012100, 2024
12024
ANN based Study to Investigate the Parameters Influencing Collision Type on a Four Lane Divided National Highway
J Sowjanya, NK Chikkakrishna, T Tallam
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile …, 2020
12020
Calibration of Pedestrian Flow Model Using Greenshield’s Macroscopic Stream Model for a Signalized Midblock
SP Reddy, T Tallam, KM Lakshmana Rao
Advances in Geotechnical and Transportation Engineering: Select Proceedings …, 2020
12020
Evaluation of Rutting Characteristics on Warm Mix Asphalt with Inclusion of Fibers
G Sharanya, TN Teja, A Ramesh
i-manager's Journal on Material Science 3 (3), 13, 2015
12015
Concentrations at Signalized Intersections Using Computational
PB Vishwanath, T Tallam
Recent Advances in Transportation Systems Engineering and Management—Volume …, 2025
2025
Traffic Sign Board Recognition Using Computational Techniques
B Anand, T NagaTeja
Journal of Physics: Conference Series 2779 (1), 012021, 2024
2024
IoT enabled smart monitoring system to assess the early age compressive strength of concrete mix
AS Bijanapally, T Tallam, NK Chikka Krishna
AIP Conference Proceedings 3007 (1), 2024
2024
Prediction of Carbon Monoxide Concentrations at Signalized Intersections Using Computational Techniques
PB Vishwanath, T Tallam
International Conference on Transportation System Engineering and Management …, 2023
2023
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