CTM-Based Optimal Signal Control Strategies in Urban Networks

Jin, Wen-Long; Gan, Qijian; University of California, Irvine. Institute of Transportation Studies

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

i

CTM-Based Optimal Signal Control Strategies in Urban Networks

2017-06-02
By Jin, Wen-Long ; Gan, Qijian

[BIN-1.68 MB]

Select the Download button to view the document

This document file type cannot be previewed

English

Details You May Also Like

Details:

Creators:

Jin, Wen-Long ; Gan, Qijian

Jin, Wen-Long ; Gan, Qijian Less -
Corporate Creators:

University of California, Irvine. Institute of Transportation Studies
Corporate Contributors:

The Regents of the University of California, Berkeley. Sponsored Projects Office ; University of California (System). Transportation Center

The Regents of the University of California, Berkeley. Sponsored Projects Office ; University of California (System). Transportation Center Less -
Subject/TRT Terms:

[+]

Averaged Models Binary Variables Effective Demand And Merging Priority. Junction Models Linear Programming Macroscopic Fundamental Diagram Macroscopic Traffic Flow Merging Traffic Signal Control Strategy Signalized Intersections Signalized Junctions Traffic Flow Models Traffic Models Travel Demand Urban Transportation
Publication/ Report Number:

CA17-2912
Resource Type:

Tech Report
Geographical Coverage:

Los Angeles Metropolitan Area ; United States

Los Angeles Metropolitan Area ; United States Less -
TRIS Online Accession Number:

01658728
Edition:

Final Report March 1, 2015 to January 30, 2017
Corporate Publisher:

California. Dept. of Transportation.Division of Procurements and Contracts
NTL Classification:

NTL-OPERATIONS AND TRAFFIC CONTROLS-Traffic Control Devices
Abstract:

This research introduces a novel analytical framework in deriving invariant averaged models for signalized intersections in urban networks, using the capability of the cell transmission model (CTM) to capture the detailed traffic dynamics such as the formation, propagation, and dissipation of congestion arising at network junctions. Generally, the CTM formulates the optimization problem as a mixed-integer-linear programming (MILP) problem, which introduce many binary variables for large-scale urban networks and is difficult to solve. The approach aims to derive invariant averaged models to eliminate the binary variables introduced by the traffic signals. For the purpose of simplicity, the approach emphasizes on a signalized linear junction connecting one upstream link with one downstream link. Using the Cell Transmission Model (CTM) simulation on a signalized ring road, we demonstrate that the invariant averaged model is a reasonable approximation to the original supply-demand model with binary signals. Due to the existence of merging behaviors, we introduce two new terms while deriving the averaged model: Effective Demand and Merging Priority. With these two new terms, we follow similar procedures as those in the linear junction, and derive the corresponding invariant averaged model for the merging junction. We further show that the derived averaged model for the signalized linear junction is just one special case of the one for the signalized merging junction with empty demand in one of the upstream links.
Format:

PDF
Alternate URL:

http://www.dot.ca.gov/research/researchreports/reports/2017/CA17-2912_FinalReport.pdf
Funding:

65A0528 TO 013 Task 2912
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:53144e8d4fb67042e0513d2977303085223f87631d1db09e23490e2a99cd70d3
Download URL:

https://rosap.ntl.bts.gov/view/dot/36600/dot_36600_DS1.bin
File Type:

No Additional Files

More +

CTM-Based Optimal Signal Control Strategies in Urban Networks

Details:

Supporting Files

You May Also Like