Calibration of a rule-based intelligent network simulation model

Abstract

This paper is focused on calibration of an intelligent network simulation model (INSIM) with reallife transportation network to analyse the INSIM's feasibility in simulating commuters' travel choice behaviour under the influence of real-time integrated multimodal traveller information (IMTI). A transportation network model for the central and western areas of Singapore was simulated in PARAMICS and integrated with INSIM expert system by means of an application programming interface to form the INSIM. Upon calibration, INSIM was able to realistically present complicated scenarios in which real-time IMTI was provided to commuters and the network performance measures being recorded.

Multistage Fuzzy Logic Controller for Expressway Traffic Control during Incidents

“…In the aforementioned applications, FLS in general has delivered promising results. For knowledge representation, many researchers have investigated the rule-based reasoning system for traffic management and control (Toan and Lam 2005;Memon et al 2015Memon et al , 2016Yan et al 2018;Tariq et al 2020). In the rule-based reasoning system, the knowledge is represented in the form of condition-action pairs: IF conditions (premises) are met, THEN actions (conclusions) are carried out.…”