Multi-Objective Signal Optimization with Embedded Enhanced Store-and-Forward Model for Oversaturated Corridor
When the traffic state becomes oversaturated, intersections are not immune to congestion. It is necessary to understand the traffic dynamic of the signalized arterial network to determine proper signal control plans. A number of elaborate arterial traffic flow models, which were deductively derived to describe the complex interactions between traffic state evolution and key control parameters, have been applied to provide relatively accurate predictions. Model-based proactive control systems can adjust signal timing plans in real time to handle fluctuations and congestion-based predicted traffic states. A particular simplified control design pursued in various past studies is based on store-and-forward modeling (SFM). This paper presents a new methodology for optimizing the signal timing controls of an oversaturated corridor based on an enhanced SFM model and a multi-objective technique. The multi-objective model seeks to find trade-offs between maximizing throughput and minimizing the average queue ratio. An adaptive control simulation platform is developed using a full-scale signal simulator, ASC/3, in a microscopic traffic model VISSIM. A case study of a 7.4-kilometer arterial corridor reveals that (1) the Pareto frontier can provide more appropriate alternatives under particular situations, and (2) the proposed model is promising for use in the design of arterial signals, especially under congested, high demand traffic conditions, as compared to traditional actuated signal control.
-
Supplemental Notes:
- This paper was sponsored by TRB committee AHB25 Standing Committee on Traffic Signal Systems. Alternate title: Multiobjective Signal Optimization with Embedded Enhanced Store-and-Forward Model for Oversaturated Corridor
-
Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Liu, Gang
- Qiu, Tony Z
-
Conference:
- Transportation Research Board 95th Annual Meeting
- Location: Washington DC, United States
- Date: 2016-1-10 to 2016-1-14
- Date: 2016
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 18p
- Monograph Title: TRB 95th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Arterial highways; Case studies; Optimization; Signalization; Traffic congestion; Traffic flow
- Identifier Terms: VISSIM (Computer model)
- Subject Areas: Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01593862
- Record Type: Publication
- Report/Paper Numbers: 16-3704
- Files: TRIS, TRB, ATRI
- Created Date: Mar 18 2016 12:37PM