Integrating Meso- and Micro-Simulation Models to Evaluate Traffic Management Strategies – Year 1
-
2016-06-01
Details:
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Resource Type:
-
Geographical Coverage:
-
Edition:Final report
-
Corporate Publisher:
-
Abstract:In this project the researchers developed a hierarchical multi-resolution traffic simulation system for metropolitan areas, referred to as MetroSim. Categorically, the focus is on integrating two types of simulation: microscopic simulation in which individual vehicle’s behaviors and vehicles’ interactions are simulated with high fidelity; and mesoscopic simulation (a dynamic traffic assignment (DTA) type simulator) in which individual vehicle’s behaviors and vehicles’ interactions are simplified. It has been noticed that some drawbacks exist with the DTA-type simulators that are used to simulate large-scale urban traffic networks where traffic signal systems play an essential role. Specifically, DTA-type simulators can hardly emulate a traffic signal control mechanism close to the reality. Instead, in most cases, the DTA-type simulators approximate signal control effects at intersections just by reducing the adjacent link capacities or increasing the corresponding link travel times. The lack of high-fidelity traffic signal control in DTA simulator may bring significant bias to the simulation results. At the other end of the spectrum, microscopic simulator cannot be applied to large-scale simulation because of the demand on computing resources necessary to run the simulation model. To address the aforementioned issues and provide a flexible simulation platform applicable to both planning projects and operations analysis, (in particular, to develop and evaluate innovative adaptive signal control strategies for large networks), the Arizona State University (ASU) research team developed a prototype of multi-resolution traffic simulation platform, MetroSim.
-
Format:
-
Alternate URL:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type: