Development and validation of a driving simulator for traffic control using field data

Developing a fuzzy-based decision-making procedure for traffic control in expressway congestion management

“…The decision-making process for traffic control for congestion management on expressways using the MS-FLC consists of three tasks: (1) evaluation of current traffic congestion; (2) prediction of traffic congestion tendency; and (3) recommendation of control strategies and control actions to alleviate congestion. For the MS-FLC validation and evaluation, a traffic simulator controller (TSC) that consists of a car-following model (CFM) [45] and a traffic controller (TC) was developed (Fig. 16).…”

“…Not only does the MS-FLC outperformed ALINEA\Q in managing ramp traffic, it also outperformed ALINEA\Q in managing the mainline flow under critical incident congestion. Details on the MS-FLC model validation and evaluation can be seen in [12] and [45].…”

“…Not only does the MS-FLC outperformed ALINEA\Q in managing ramp traffic, it also outperformed ALINEA\Q in managing the mainline flow under critical incident congestion. Details on the MS-FLC model validation and evaluation can be seen in[12] and[45].To explore the effects of changes in these parameters on the comparative performance of the control approaches and to enhance confidence in the models' performance in an uncertain environment, a sensitivity analysis was conducted. The simulation parameters include changes in the network length and ramp storage capacity.…”