| A stepwise interpretable machine learning framework using linear regression (LR) and long short-term memory (LSTM): City-wide demand-side prediction of yellow taxi and for-hire … T Kim, S Sharda, X Zhou, RM Pendyala Transportation Research Part C: Emerging Technologies 120, 102786, 2020 | 60 | 2020 |
| Fusing multiple sources of data to understand ride-hailing use FF Dias, PS Lavieri, T Kim, CR Bhat, RM Pendyala Transportation Research Record 2673 (6), 214-224, 2019 | 57 | 2019 |
| Congestion-aware cooperative adaptive cruise control for mitigation of self-organized traffic jams T Kim, K Jerath IEEE Transactions on Intelligent Transportation Systems 23 (7), 6621-6632, 2021 | 20 | 2021 |
| Computational graph-based framework for integrating econometric models and machine learning algorithms in emerging data-driven analytical environments T Kim, X Zhou, RM Pendyala Transportmetrica A: Transport Science 18 (3), 1346-1375, 2022 | 10 | 2022 |
| Modeling the evolution of ride-hailing adoption and usage: A case study of the puget sound region FF Dias, T Kim, CR Bhat, RM Pendyala, WHK Lam, AR Pinjari, ... Transportation Research Record 2675 (3), 81-97, 2021 | 9 | 2021 |
| Mitigation of self-organized traffic jams using cooperative adaptive cruise control T Kim, K Jerath 2016 International Conference on Connected Vehicles and Expo (ICCVE), 7-12, 2016 | 9 | 2016 |
| Mobility, Time Poverty, and Well-Being: How Are They Connected and How Much Does Mobility Matter? I Batur, S Sharda, T Kim, S Khoeini, RM Pendyala, CR Bhat Technical paper, Arizona State University, 2019 | 6 | 2019 |
| Development of an Integrated Model System of Transport and Residential Energy Consumption RM Pendyala, S Sharda, T Kim, S Khoeini, I Batur Center for Teaching Old Models New Tricks (TOMNET), 2021 | | 2021 |
| Integrate Transportation Planning Models with Machine Learning Algorithms: A Computational Graph Framework in a Data-Rich Environment T Kim Arizona State University, 2021 | | 2021 |
| Cooperative adaptive cruise control: impact on self-organized traffic jams TH Kim Washington State University, 2017 | | 2017 |
| Computational Graph-Based Mathematical Programming Reformulation for Integrated Transport Demand and Supply Models T Kim, J Lu, RM Pendyala, XS Zhou Available at SSRN 4250270, 0 | | |
Ram PendyalaProfessor and Director, School of Sustainable Engineering and the Built Environment, Arizona StateVerified email at asu.edu
