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Tutorials

The role of the tutorials is to provide a platform for a more intensive scientific exchange amongst researchers interested in a particular topic and as a meeting point for the community. Tutorials complement the depth-oriented technical sessions by providing participants with broad overviews of emerging fields. A tutorial can be scheduled for 1.5 or 3 hours.



Leveraging Vehicle Probe Data for Real-Time Management Decisions: A Case Study Review


Instructor

Darcy Bullock
Purdue University
United States
 
Abstract

Real-time performance measurement of interstate speeds is critical for successful traffic operations management. Agency managers and Traffic Management Center decision makers need situational awareness of the network and the ability to identify irregularities at a glance in order to manage resources and respond to media queries. One way to access this level of detail is crowdsourced probe vehicle data. Crowdsourced probe vehicle data can be obtained by collecting speed data from cell phones and GPS devices. In Indiana, approximately 2673 predefined interstate segments are used to generate over 3.8 million speed records per day. These data can be overwhelming without efficient procedures to reduce and aggregate both spatially and temporally. This tutorial introduces a spatial and temporal aggregation model and an accompanying real-time dashboard to characterize the current and past congestion history of interstate roadways. The tutorial includes several case studies illustrating how this data case be used to provide real-time traffic information to decision makers during unplanned road closures, severe weather as well as after action review of major crashes.

Keywords: Big Data Analytics for Intelligent Transportation

Aims and Learning Objectives: Inform vehicle oriented stakeholders on opportunities to integrate probe data into real-time management of roadways.

Target Audience: Vehicle telematics audiece Roadway managers

Detailed Outline:
1. Probe data concepts (5 min)
2. Commercial probe data options (5 min)
3. Visualization of Temporal and Spatial Probe Data (30 minutes)
4. Case studies (30 minutes)
5. Lessons Learned (10 minutes) 6. Q&A


Keywords

Big Data Analytics for Intelligent Transportation


Aims and Learning Objectives

Inform vehicle oriented stakeholders on opportunities to integrate probe data into real-time management of roadways.

Target Audience

Vehicle telematics audiece
Roadway managers


Prerequisite Knowledge of Audience

None

Detailed Outline

1. Probe data concepts (5 min)
2. Commercial probe data options (5 min)
3. Visualization of Temporal and Spatial Probe Data (30 minutes)
4. Case studies (30 minutes)
5. Lessons Learned (10 minutes)
6. Q&A

Secretariat Contacts
e-mail: vehits.secretariat@insticc.org

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