| Freight transport platoon coordination and departure time scheduling under travel time uncertainty W Zhang, E Jenelius, X Ma Transportation Research Part E: Logistics and Transportation Review 98, 1-23, 2017 | 125 | 2017 |
| An intelligent control system for traffic lights with simulation-based evaluation J Jin, X Ma, I Kosonen Control Engineering Practice 58, 24-33, 2017 | 125 | 2017 |
| Estimation of Driver Reaction Time from Car-Following Data: Application in Evaluation of General Motor–Type Model X Ma, I Andréasson Transportation Research Record: Journal of the Transportation Research Board …, 2006 | 125* | 2006 |
| Analysis of a cooperative variable speed limit system using microscopic traffic simulation E Grumert, X Ma, A Tapani Transportation Research Part C: Emerging Technologies 52, 173-186, 2015 | 119 | 2015 |
| Behavior measurement, analysis, and regime classification in car following X Ma, I Andreasson IEEE Transactions on Intelligent Transportation Systems 8 (1), 144-156, 2007 | 119 | 2007 |
| A multi-objective agent-based control approach with application in intelligent traffic signal system J Jin, X Ma IEEE Transactions on Intelligent Transportation Systems 20 (10), 3900-3912, 2019 | 105 | 2019 |
| COMPANION--Towards Co-operative Platoon Management of Heavy-Duty Vehicles S Eilers, J Mårtensson, H Pettersson, M Pillado, D Gallegos, M Tobar, ... 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 88 | 2015 |
| Multi-criteria analysis of optimal signal plans using microscopic traffic models X Ma, J Jin, W Lei Transportation Research Part D: Transport and Environment 32, 1-14, 2014 | 88 | 2014 |
| A group-based traffic signal control with adaptive learning ability J Jin, X Ma Engineering Applications of Artificial Intelligence 65, 282-293, 2017 | 82 | 2017 |
| Hierarchical multi-agent control of traffic lights based on collective learning J Jin, X Ma Engineering Applications of Artificial Intelligence 68, 236-248, 2018 | 80 | 2018 |
| Modeling cyclist acceleration process for bicycle traffic simulation using naturalistic data X Ma, D Luo Transportation Research Part F: Traffic Psychology and Behaviour 40, 130-144, 2016 | 65 | 2016 |
| Adaptive group-based signal control by reinforcement learning J Jin, X Ma Transportation research procedia 10, 207-216, 2015 | 64 | 2015 |
| Analysis of vehicle-bicycle interactions at unsignalized crossings: A probabilistic approach and application AP Silvano, HN Koutsopoulos, X Ma Accident Analysis & Prevention 97, 38-48, 2016 | 60 | 2016 |
| A neural-fuzzy framework for modeling car-following behavior X Ma 2006 IEEE international conference on systems, man and cybernetics 2, 1178-1183, 2006 | 55 | 2006 |
| Characteristics of variable speed limit systems EF Grumert, A Tapani, X Ma European Transport Research Review 10 (2), 1-12, 2018 | 53 | 2018 |
| A stochastic optimization framework for road traffic controls based on evolutionary algorithms and traffic simulation J Jin, X Ma, I Kosonen Advances in Engineering Software 114, 348-360, 2017 | 52 | 2017 |
| A GAN-based short-term link traffic prediction approach for urban road networks under a parallel learning framework J Jin, D Rong, T Zhang, Q Ji, H Guo, Y Lv, X Ma, FY Wang IEEE Transactions on Intelligent Transportation Systems 23 (9), 16185-16196, 2022 | 51 | 2022 |
| The influence of traffic on heavy-duty vehicle platoon formation KY Liang, Q Deng, J Mårtensson, X Ma, KH Johansson 2015 IEEE Intelligent Vehicles Symposium (IV), 150-155, 2015 | 50 | 2015 |
| Predicting the effect of various ISA penetration grades on pedestrian safety by simulation X Ma, I Andréasson Accident Analysis & Prevention 37 (6), 1162-1169, 2005 | 40 | 2005 |
| An evaluation of microscopic emission models for traffic pollution simulation using on-board measurement X Ma, W Lei, I Andréasson, H Chen Environmental Modeling & Assessment 17, 375-387, 2012 | 39 | 2012 |
Junchen JinSUPCON GroupVerified email at supcon.com
