Data

ITS Standards: A System Management Perspective

Intihar, Chris
Hall, Randolf
1997

This working paper is part of a larger project examining how the State of California should respond to the National System Architecture (NSA) for Intelligent Transportation Systems. The specific focus of this paper is on the role of standardization in managing and controlling the transportation system. The paper reviews activities and processes used by standards setting organization in transportation. We conclude that national and international standards will continue to address the needs for defining common interfaces...

Investigation of Vehicles as Probes Using Global Positioning System and Cellular Phone Tracking: Field Operational Test

Yim, Y. B. Youngbin
Cayford, Randall
2001

This paper reports on the first phase of the location technology evaluation for probe vehicles. Two technologies were evaluated, Global Positioning Systems (GPS) and the cellular phone tracking technology developed by US Wireless. Although GPS has shown great potential for vehicle probes, much of the previous research is theoretical in nature. Very little work has been done in the areas of experimental research, implementation or deployment. Most of the field tests were anecdotal; a systematic approach is highly desired to develop a vehicle probe system that is reliable and efficient for...

Hybrid Traffic Data Collection Roadmap: Pilot Procurement of Third-Party Traffic Data

Bayen, Alexandre
Sharafsaleh, Mohammad
Patire, Anthony D.
2013

This research investigates the feasibility and the business case for purchasing third‐party probe data and fusing it with Caltrans’ existing data for the purpose of estimating travel times. The intent was to demonstrate an efficient and cost-effective use of alternative traffic data sources to complement the detection systems currently installed and operated by Caltrans.

Hybrid Traffic Data Collection Roadmap: Objectives and Methods

Bayen, Alexander
Sharafsaleh, Mohammad
Patire, Anthony D.
2013

Traffic data is used to estimate current traffic conditions so that travelers and agencies can make better decisions about how to use and manage the transportation network. This research explores the fusion of probe data (vehicle speed and direction) with loop data (density, speed, and count) in the context of producing overall network speed and travel time estimates. Speed and travel time estimates are useful in many circumstances, but current system control strategies (ramp metering, for example) require density data. While it is difficult to significantly increase the quantity of loop...