Title :
A Driver Lateral and Longitudinal Control Model Based on Queuing Network Cognitive Architecture
Author :
Luzheng Bi ; Cuie Wang ; Xuerui Yang
Author_Institution :
Sch. of Mech. Eng., Beijing Inst. of Technol., Beijing, China
Abstract :
In this paper, we propose a new computational model of driver car-following control with lateral control based on the Queuing Network (QN) cognitive architecture. A driver car-following model within the framework of the QN cognitive architecture is first developed based on the time headway and then integrated with a QN-based driver lateral control model previously validated. The comparison between human driver data and the integrated model simulation data suggests that this computational model can perform car-following control with lateral control well, and its performance is in agreement with that of drivers under straight and curved roads. This proposed model can compute and simulate car-following behavior and thus has the potential to help develop driver assistance systems for the car-following scenario.
Keywords :
automobiles; cognitive systems; control engineering computing; digital simulation; driver information systems; queueing theory; road traffic control; QN cognitive architecture; QN-based driver lateral control model; car-following behavior; computational model; curved roads; driver assistance systems; driver car-following control; driver car-following model; driver longitudinal control model; human driver data; integrated model simulation data; queuing network; straight roads; time headway; Computational modeling; Computer architecture; Data models; Mathematical model; Servers; Vehicles; Visualization; Car-following; Driver lateral control; Queuing Network;
Conference_Titel :
Intelligent Systems (GCIS), 2013 Fourth Global Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4799-2885-9
DOI :
10.1109/GCIS.2013.50
