| 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 | 115 | 2017 |
| 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 | 99 | 2019 |
| 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 | 80 | 2020 |
| 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 | 71 | 2017 |
| Metropolitan rail network robustness O Cats, P Krishnakumari Physica A: statistical mechanics and its applications 549, 124317, 2020 | 58 | 2020 |
| A data driven method for OD matrix estimation P Krishnakumari, H van Lint, T Djukic, O Cats Transportation Research Procedia 38, 139-159, 2019 | 41 | 2019 |
| 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 | 19 | 2016 |
| 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 | 17 | 2017 |
| 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 | 16 | 2019 |
| 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 | 15 | 2018 |
| Virus spreading in public transport networks: the alarming consequences of the business as usual scenario P Krishnakumari, O Cats TU Delft, 2020 | 13 | 2020 |
| 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 | 10 | 2020 |
| 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 | 9 | 2022 |
| Virus Spreading in Public Transport Networks P Krishnakumari, O Cats Working paper. Transport Institute TU Delft, 2020 | 8 | 2020 |
| Supervised learning for measuring hip joint distance in digital X-ray images PK Krishnakumari | 5 | 2015 |
| Understanding physical distancing compliance behaviour using proximity and survey data: A case study in the Netherlands during the COVID-19 pandemic L Van Schaik, D Duives, S Hoogendoorn-Lanser, JW Hoekstra, ... Transportation Research Procedia 76, 505-519, 2024 | 4 | 2024 |
| 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 | 4 | 2019 |
| Improving the service of E-bike sharing by demand pattern analysis: A data-driven approach Z Zhang, P Krishnakumari, F Schulte, N van Oort Research in Transportation Economics 101, 101340, 2023 | 3 | 2023 |
| Invloed van COVID-19 op verkeersafwikkeling SP Hoogendoorn, W Daamen, Y Yuan, PK Krishnakumari Tijdschrift Vervoerswetenschap 57 (1), 41-69, 2021 | 3 | 2021 |
| 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 | 3 | 2020 |
Hai L. VuProfessor of Intelligent Transport Systems, Monash University在 monash.edu 的电子邮件经过验证
