Game theoretic approach for predictive lane-changing and car-following control
This contribution puts forward a receding horizon control approach for automated driving
systems, where tactical-level lane change decisions and control-level accelerations are …
systems, where tactical-level lane change decisions and control-level accelerations are …
Probabilistic lane-change decision-making and planning for autonomous heavy vehicles
To improve the safety and driving stability of the autonomous heavy truck, it is necessary to
consider the differences of driving behavior and drivable trajectories between the heavy …
consider the differences of driving behavior and drivable trajectories between the heavy …
An evaluation of HTM and LSTM for short-term arterial traffic flow prediction
Recent years have seen the emergence of two significant technologies: big data systems
capable of storing, retrieving, and processing large amounts of data, and machine learning …
capable of storing, retrieving, and processing large amounts of data, and machine learning …
A game theoretic model predictive controller with aggressiveness estimation for mandatory lane change
In this article, we develop a game theoretic model predictive controller (GTMPC) with
aggressiveness estimation to deal with the mandatory lane change (MLC) problem in …
aggressiveness estimation to deal with the mandatory lane change (MLC) problem in …
Categorization of the lane change decision process on freeways
Traffic operations for new road layouts are often simulated using microscopic traffic
simulation packages. These traffic simulation packages usually simulate traffic on freeways …
simulation packages. These traffic simulation packages usually simulate traffic on freeways …
Comprehensive survival analysis of lane-changing duration
Lane-changing duration (LCD) measures the total time it takes for a vehicle to travel from the
current lane to the target lane. However, there is still a paucity research on LCD up to now …
current lane to the target lane. However, there is still a paucity research on LCD up to now …
Predicting driver's lane-changing decisions using a neural network model
J Zheng, K Suzuki, M Fujita - Simulation Modelling Practice and Theory, 2014 - Elsevier
Lane changing has a significant impact on traffic flow characteristics and potentially reduces
traffic safety. However, literature relating to lane changing is not comprehensive, largely …
traffic safety. However, literature relating to lane changing is not comprehensive, largely …
Understanding the dynamics of heavy vehicle interactions in car-following
Heavy vehicles and passenger cars differ in their maneuverability and acceleration
capabilities. Heavy vehicles thus influence other traffic in a different manner than passenger …
capabilities. Heavy vehicles thus influence other traffic in a different manner than passenger …
Modeling mechanical restriction differences between car and heavy truck in two-lane cellular automata traffic flow model
Real traffic is heterogeneous with car and truck. Due to mechanical restrictions, the car and
the truck have different limited deceleration capabilities, which are important factors in safety …
the truck have different limited deceleration capabilities, which are important factors in safety …
Calibration and validation of and results from a micro-simulation model to explore drivers' actual use of acceleration lanes
G Cantisani, G Del Serrone, G Di Biagio - Simulation Modelling Practice …, 2018 - Elsevier
This study investigates the actual use of acceleration lanes by means of traffic micro-
simulations in proximity to the convergence between the main and the secondary traffic …
simulations in proximity to the convergence between the main and the secondary traffic …