Adaptive-AR Model with Drivers’ Prediction for Traffic Simulation
We present a novel model called A2R—“Adaptive-AR”—based on a well-known continuum-based model called AR Aw and Rascle (2000) for the simulation of vehicle traffic flows. However, in the standard continuum-based model, vehicles usually follow the flows passively, without taking into account drivers...
Saved in:
Main Authors: | Xuequan Lu, Mingliang Xu, Wenzhi Chen, Zonghui Wang, Abdennour El Rhalibi |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2013-01-01
|
Series: | International Journal of Computer Games Technology |
Online Access: | http://dx.doi.org/10.1155/2013/904154 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis of Driver Behavior and Intervehicular Collision: A Data-Based Traffic Modeling and Simulation Approach
by: Lu Zhao, et al.
Published: (2022-01-01) -
The Impact of Traffic Environmental Vision Pressure on Driver Behaviour
by: Yi Li, et al.
Published: (2018-01-01) -
Analysis of Driver Gaze and Attention to Traffic Signs
by: Shabnam Shabani, et al.
Published: (2022-01-01) -
Impact of Driver Compliance and Aggressiveness in Connected Vehicles on Mixed Traffic Flow Efficiency: A Simulation Study
by: Chenhao Qian, et al.
Published: (2024-01-01) -
The Analysis of Driver’s Recognition Time of Different Traffic Sign Combinations on Urban Roads via Driving Simulation
by: Kun Liu, et al.
Published: (2021-01-01)