| Leveraging longitudinal driving behaviour data with data mining techniques for driving style analysis G Qi, Y Du, J Wu, M Xu IET intelligent transport systems 9 (8), 792-801, 2015 | 78 | 2015 |
| Analysis and prediction of regional mobility patterns of bus travellers using smart card data and points of interest data G Qi, A Huang, W Guan, L Fan IEEE Transactions on Intelligent Transportation Systems 20 (4), 1197-1214, 2018 | 76 | 2018 |
| Network-wide identification of turn-level intersection congestion using only low-frequency probe vehicle data Z He, G Qi, L Lu, Y Chen Transportation Research Part C: Emerging Technologies 108, 320-339, 2019 | 62 | 2019 |
| Recognizing driving styles based on topic models G Qi, J Wu, Y Zhou, Y Du, Y Jia, N Hounsell, NA Stanton Transportation research part D: transport and environment 66, 13-22, 2019 | 51 | 2019 |
| Analysis of traffic state variation patterns for urban road network based on spectral clustering S Yang, J Wu, G Qi, K Tian Advances in Mechanical Engineering 9 (9), 1687814017723790, 2017 | 49 | 2017 |
| Mobility pattern recognition based prediction for the subway station related bike-sharing trips Y Lv, D Zhi, H Sun, G Qi Transportation research part C: emerging technologies 133, 103404, 2021 | 36 | 2021 |
| Integrated optimization of electric bus scheduling and charging planning incorporating flexible charging and timetable shifting strategies M Duan, F Liao, G Qi, W Guan Transportation Research Part C: Emerging Technologies 152, 104175, 2023 | 29 | 2023 |
| What is the appropriate temporal distance range for driving style analysis? G Qi, Y Du, J Wu, N Hounsell, Y Jia IEEE Transactions on Intelligent Transportation Systems 17 (5), 1393-1403, 2015 | 27 | 2015 |
| Impacts of rainfall weather on urban traffic in Beijing: analysis and modeling Y Jia, J Wu, Y Du, G Qi arXiv preprint arXiv:1407.4522, 2014 | 21 | 2014 |
| Optimization of a rural bus service integrated with e-commerce deliveries guided by a new sustainable policy in China D He, AA Ceder, W Zhang, W Guan, G Qi Transportation Research Part E: Logistics and Transportation Review 172, 103069, 2023 | 19 | 2023 |
| Reforming mixed operation schedule for electric buses and traditional fuel buses by an optimal framework M Duan, G Qi, W Guan, C Lu, C Gong IET Intelligent Transport Systems 15 (10), 1287-1303, 2021 | 18 | 2021 |
| Mining customized bus demand spots based on smart card data: A case study of the Beijing public transit system Y Cheng, A Huang, G Qi, B Zhang IEEE Access 7, 181626-181647, 2019 | 17 | 2019 |
| Day-to-day rerouting modeling and analysis with absolute and relative bounded rationalities W Zhang, Z He, W Guan, G Qi Transportmetrica A: Transport Science 14 (3), 256-273, 2018 | 17 | 2018 |
| Wielding and evaluating the removal composition of common artefacts in EEG signals for driving behaviour analysis G Qi, S Zhao, AA Ceder, W Guan, X Yan Accident Analysis & Prevention 159, 106223, 2021 | 16 | 2021 |
| Comprehending and analyzing multiday trip-chaining patterns of freight vehicles using a multiscale method with prolonged trajectory data M Duan, G Qi, W Guan, R Guo Journal of Transportation Engineering, Part A: Systems 146 (8), 04020070, 2020 | 16 | 2020 |
| Heterogeneous overtaking and learning styles with varied EEG patterns in a reinforced driving task S Zhao, W Guan, G Qi, P Li Accident Analysis & Prevention 171, 106665, 2022 | 14 | 2022 |
| New method for predicting long-term travel time of commercial vehicles to improve policy-making processes G Qi, AA Ceder, Z Zhang, W Guan, D Liu Transportation Research Part A: Policy and Practice 145, 132-152, 2021 | 14 | 2021 |
| Exploring regional sustainable commuting patterns based on dockless bike-sharing data and POI data R Wang, J Wu, G Qi Journal of Transport Geography 102, 103395, 2022 | 13 | 2022 |
| Discovery of important crossroads in road network using massive taxi trajectories M Xu, J Wu, Y Du, H Wang, G Qi, K Hu, Y Xiao arXiv preprint arXiv:1407.2506, 2014 | 12 | 2014 |
| Analysis of terminal area airspace operation status based on trajectory characteristic point clustering H Zhong, H Liu, G Qi IEEE Access 9, 16642-16648, 2021 | 11 | 2021 |
