Xiaoliang Ma (X. Ma)
Xiaoliang Ma (X. Ma)
KTH Royal Institute of Technology
Verifierad e-postadress på trafficlab.se - Startsida
Citeras av
Citeras av
Behavior measurement, analysis, and regime classification in car following
X Ma, I Andreasson
IEEE Transactions on Intelligent Transportation Systems 8 (1), 144-156, 2007
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
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
An intelligent control system for traffic lights with simulation-based evaluation
J Jin, X Ma, I Kosonen
Control Engineering Practice 58, 24-33, 2017
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
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
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
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
Driver reaction time estimation from real car following data and application in GM-type model evaluation
X Ma, I Andréasson
Proceedings of the 85th TRB annual meeting, 1-19, 2006
A group-based traffic signal control with adaptive learning ability
J Jin, X Ma
Engineering Applications of Artificial Intelligence 65, 282-293, 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
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
A neural-fuzzy framework for modeling car-following behavior
X Ma
2006 IEEE International Conference on Systems, Man and Cybernetics 2, 1178-1183, 2006
Statistical analysis of driver behavior data in different regimes of the car-following stage
X Ma, I Andréasson
Transportation Research Record: Journal of the Transportation Research Board …, 2007
Pre-disaster investment decisions for strengthening the Chinese railway system under earthquakes
Y Yan, L Hong, X He, M Ouyang, S Peeta, X Chen
Transportation research part E: logistics and transportation review 105, 39-59, 2017
Adaptive group-based signal control by reinforcement learning
J Jin, X Ma
Transportation Research Procedia 10, 207-216, 2015
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
Dynamic car following data collection and noise cancellation based on the Kalman smoothing
X Ma, I Andréasson
IEEE International Conference on Vehicular Electronics and Safety, 2005., 35-41, 2005
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
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 (4), 375-387, 2012
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Artiklar 1–20