Follow
Panchamy Krishnakumari
Panchamy Krishnakumari
Assistant Professor, TU Delft
Verified email at tudelft.nl
Title
Cited by
Cited by
Year
Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps
C Lopez, L Leclercq, P Krishnakumari, N Chiabaut, H Van Lint
Scientific Reports 7 (1), 14029, 2017
1092017
Feature extraction and clustering analysis of highway congestion
TT Nguyen, P Krishnakumari, SC Calvert, HL Vu, H Van Lint
Transportation Research Part C: Emerging Technologies 100, 238-258, 2019
852019
A data driven method for OD matrix estimation
P Krishnakumari, H Van Lint, T Djukic, O Cats
Transportation Research Part C: Emerging Technologies 113, 38-56, 2020
682020
Spatiotemporal partitioning of transportation network using travel time data
C Lopez, P Krishnakumari, L Leclercq, N Chiabaut, H Van Lint
Transportation Research Record 2623 (1), 98-107, 2017
632017
Metropolitan rail network robustness
O Cats, P Krishnakumari
Physica A: Statistical Mechanics and its Applications 549, 124317, 2020
492020
A data driven method for OD matrix estimation
P Krishnakumari, H van Lint, T Djukic, O Cats
Transportation Research Procedia 38, 139-159, 2019
362019
Exploring demand patterns of a ride-sourcing service using spatial and temporal clustering
TLK Liu, P Krishnakumari, O Cats
2019 6th International Conference on Models and Technologies for Intelligent …, 2019
172019
Traffic congestion pattern classification using multi-class SVM
HN Nguyen, P Krishnakumari, HL Vu, H van Lint
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
172016
Understanding network traffic states using transfer learning
P Krishnakumari, A Perotti, V Pinto, O Cats, H van Lint
2018 21st International Conference on Intelligent Transportation Systems …, 2018
152018
Traffic congestion pattern classification using multiclass active shape models
P Krishnakumari, T Nguyen, L Heydenrijk-Ottens, HL Vu, H van Lint
Transportation Research Record 2645 (1), 94-103, 2017
142017
Estimation of metro network passenger delay from individual trajectories
P Krishnakumari, O Cats, H van Lint
Transportation Research Part C: Emerging Technologies 117, 102704, 2020
112020
Virus spreading in public transport networks: the alarming consequences of the business as usual scenario
P Krishnakumari, O Cats
URL https://www. linkedin. com/pulse/virus-spreading-public-transport …, 2020
112020
Virus Spreading in Public Transport Networks
P Krishnakumari, O Cats
Working paper. Transport Institute TU Delft, 2020
72020
Effectiveness of trip planner data in predicting short-term bus ridership
Z Wang, AJ Pel, T Verma, P Krishnakumari, P van Brakel, N van Oort
Transportation Research Part C: Emerging Technologies 142, 103790, 2022
52022
Supervised learning for measuring hip joint distance in digital X-ray images
PK Krishnakumari
52015
Rail network robustness: The role of rapid development and a polycentric structure in withstanding random and targeted attacks
O Cats, P Krishnakumari, K Tundulyasaree
Proceedings of the Transportation Research Board 98th Annual Meeting …, 2019
42019
Invloed van COVID-19 op verkeersafwikkeling
SP Hoogendoorn, W Daamen, Y Yuan, PK Krishnakumari
Tijdschrift Vervoerswetenschap 57 (1), 2021
22021
A compact and scalable representation of network traffic dynamics using shapes and its applications
P Krishnakumari, O Cats, H van Lint
Transportation Research Part C: Emerging Technologies 121, 102850, 2020
22020
Estimating the safety effects of congestion warning systems using carriageway aggregate data
H van Lint, TT Nguyen, P Krishnakumari, SC Calvert, H Schuurman, ...
Transportation Research Record 2674 (11), 278-288, 2020
22020
Heuristic Coarsening for Generating Multiscale Transport Networks
P Krishnakumari, O Cats, H van Lint
IEEE Transactions on Intelligent Transportation Systems 21 (6), 2240-2253, 2019
22019
The system can't perform the operation now. Try again later.
Articles 1–20