Webinar Presentation

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Data and Connected Vehicle Support of Active Traffic Management Strategies
(October 31, 2016)

A Framework for Recommending Signal Timing Operations Based on Automatic Vehicle Matching Technologies

Presenter: Xuanwu Chen
Presenter’s Org: Florida International University (FIU)

The purpose of the T3e webinar series is to provide a platform for students to share their research findings. References in this webinar to any specific commercial products, processes, or services, or the use of any trade, firm, or corporation name is for the information and convenience of the public, and does not constitute endorsement, recommendation, or favoring by the U.S. DOT.

The slides in this presentation are branded with the FIU Engineering and Computing logo.

Slide 1: Presenter Introduction

Xuanwu Chen, Ph.D. Candidate

Research Interests:
- Intelligent Transportation Systems
- Traffic Control Systems
- Traffic Simulation
- Traffic Operations
Dissertation Title:
- A Framework for Recommending Signal Timing Improvements based on Automatic Vehicle Matching Technologies
Selected Honors/Awards:
- Bill McGrath Transportation Studies Scholarship, FSITE, 2014
- Henry P. Boggs Student Paper Award, FSITE, 2014

[This slide contains a photo of Xuanwu Chen.]

Slide 2: Motivation

Traditional identification of signal control problems
Current practices of signal retiming
Emergence of ITS detection technologies
- Automatic Vehicle Matching Technologies
Traffic monitoring and data collection

[This slide contains a reproduction of 2012’s National Traffic Signal’s report card from the National Transportation Operations Coalition: Management (D), Traffic Signal Operations (C), Signal Timing Practices (C), Traffic Monitoring and Data Collection (F), and Maintenance (C), for an Overall rating of D+.]

Slide 3: Research Goal

Develop a framework of automatic decision-support signal operation diagnosis that utilizes
- Data from automatic vehicle matching technologies, and
- Data from existing signal controllers.

[This slide contains two tables: Example Raw Data from Wi-Fi Sensors and Example Raw Data from Signal Controller.]

Slide 4: Methodology - Data Acquisition

[This slide contains two images: (1) A map of a target intersection marked to show surrounding intersections, matching sets, matching set IDs, and sensor IDs; and (2) a photo of the interior of a control box marked to show the location where the Wi-Fi sensor is installed.]

Slide 5: Methodology - Data Preprocessing

[This slide contains a graphic illustration of the different types of matched travel times between a studied intersection, its upstream intersection, its downstream intersection, and the directions/order that they follow.]

Slide 6: Methodology - Diagnosis Scheme

Travel Time Index (TTI)
Max out Ratio (MR)

[This slide contains a flowchart of the diagnosis scheme, a table of uncoordinated phases diagnoses, and a table of coordinated phases diagnoses.]

Slide 7: Diagnosis Example

[This slide contains three charts: NBT Phase Diagnosis, WBT Phase Diagnosis, and Intersection Signal Diagnosis.]

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