| Behavior insights for an incentive-based active demand management platform X Hu, YC Chiu, L Zhu International Journal of Transportation Science and Technology 4 (2), 119-133, 2015 | 122 | 2015 |
| Use of shared automated vehicles for first-mile last-mile service: micro-simulation of rail-transit connections in Austin, Texas Y Huang, KM Kockelman, V Garikapati, L Zhu, S Young Transportation research record 2675 (2), 135-149, 2021 | 89 | 2021 |
| Data-driven fuel consumption estimation: A multivariate adaptive regression spline approach Y Chen, L Zhu, JD Gonder, SE Young, KA Walkowicz Transportation Research Part C: Emerging Technologies 83 (NREL/JA-5400-68860), 2017 | 77 | 2017 |
| Trajectory Segmentation Map-Matching Approach for Large-Scale, High-Resolution GPS Data L Zhu, J Holden, J Gonder Transportation Research Record: Journal of the Transportation Research Board …, 2017 | 69 | 2017 |
| Quantifying uncertainty in short-term traffic prediction and its application to optimal staffing plan development L Lin, JC Handley, Y Gu, L Zhu, X Wen, AW Sadek Transportation Research Part C: Emerging Technologies 92, 323-348, 2018 | 68 | 2018 |
| System design and optimization of in-route wireless charging infrastructure for shared automated electric vehicles AAS Mohamed, A Meintz, L Zhu IEEE Access 7, 79968-79979, 2019 | 53 | 2019 |
| Prediction of Individual Social-Demographic Role Based on Travel Behavior Variability Using Long-Term GPS Data L Zhu, J Gonder, L Lin Journal of Advanced Transportation 2017, 13, 2017 | 42 | 2017 |
| Studying driving risk factors using multi-source mobile computing data X Hu, YC Chiu, YL Ma, L Zhu International journal of transportation science and technology 4 (3), 295-312, 2015 | 38 | 2015 |
| Planning Optimization for Inductively Charged On-Demand Automated Electric Shuttles Project at Greenville, South Carolina AAS Mohamed, L Zhu, A Meintz, E Wood IEEE Transactions on Industry Applications 56 (2), 1010-1020, 2019 | 30 | 2019 |
| An Automated Vehicle Fuel Economy Benefits Evaluation Framework Using Real-World Travel and Traffic Data L Zhu, J Gonder, E Bjarkvik, M Pourabdollah, B Lindenberg IEEE Intelligent Transportation Systems Magazine, 2019 | 29 | 2019 |
| A driving cycle detection approach using map service API L Zhu, JD Gonder Transportation Research Part C: Emerging Technologies 92, 349-363, 2018 | 24 | 2018 |
| Green routing fuel saving opportunity assessment: a case study using large-scale real-world travel data L Zhu, J Holden, E Wood, J Gender 2017 IEEE Intelligent Vehicles Symposium (IV), 1242-1248, 2017 | 22 | 2017 |
| Transportation routing map abstraction approach: Algorithm and numerical analysis L Zhu, YC Chiu Transportation Research Record 2528 (1), 78-85, 2015 | 22 | 2015 |
| Learning to control and coordinate mixed traffic through robot vehicles at complex and unsignalized intersections D Wang, W Li, L Zhu, J Pan The International Journal of Robotics Research, 02783649241284069, 2024 | 21 | 2024 |
| Quantifying the mobility and energy benefits of automated mobility districts using microscopic traffic simulation L Zhu, V Garikapati, Y Chen, Y Hou, HMA Aziz, S Young International Conference on Transportation and Development 2018, 98-108, 2018 | 20 | 2018 |
| A Road Network Abstraction Approach for Traffic Analysis: Framework and Numerical Analysis L Zhu, YC Chiu, Y Chen IET Intelligent Transport Systems, 18 pp., 2017 | 19* | 2017 |
| How realistic is static traffic assignment? Analyzing automatic number-plate recognition data and image processing of real-time traffic maps for investigation H Mirzahossein, I Gholampour, M Sedghi, L Zhu Transportation Research Interdisciplinary Perspectives 9, 100320, 2021 | 18 | 2021 |
| Navigation Application Programming Interface Route Fuel Saving Opportunity Assessment on Large-Scale Real-World Travel Data for Conventional Vehicles and Hybrid Electric Vehicles L Zhu, JR Holden, JD Gonder Transportation Research Record 2672 (25), 139-149, 2018 | 18* | 2018 |
| Development of a Trip Energy Estimation Model using Real-World Global Positioning System Driving Data J Holden, E Wood, L Zhu, J Gonder, Y Tian ITS World Congress 2017, Montreal, Canada October 29 – November 2, 2017 | 18* | 2017 |
| Trip Energy Estimation Methodology and Model Based on Real-World Driving Data for Green-Routing Applications J Holden, H Van Til, E Wood, L Zhu, J Gonder, M Shirk Transportation Research Record 2672 (24), 41-48, 2018 | 17 | 2018 |
Jacob HoldenNational Renewable Energy LaboratoryE-mail confirmado em nrel.gov