01334130

Component

https://doi.org/10.3141/2243-10

http://scholar.google.com...+Gao&publication_year=2011

Intelligent transportation systems (ITS) can include multiple technologies and applications to improve the efficiency and effectiveness of a transportation system or network. These applications are deployed with the hope of achieving the goals and objectives of multiple stakeholders. This research includes a methodology to evaluate large-scale ITS infrastructure projects using the I-91 ITS project as a case study. The methodology includes a literature review; a clear definition of project goals, objectives, and intended outcomes; development of hypotheses for project outcomes; specific measures of effectiveness; data-collection methods; and criteria to measure the success of achieving the objective. The I-91 ITS project team should consider the following recommendations as next steps in conducting an ITS evaluation: identify and prioritize the goals and objectives, develop a multiphase evaluation approach, identify existing sources of predeployment data, identify missing data requirements, and document the existing communication protocol before deployment. Such a large-scale evaluation requires extensive effort, and priority should be given to developing a multiphase approach. This research may be used to develop an evaluation plan, which is recommended as a component of the six-step process outlined in the evaluation guidelines from the U.S. Department of Transportation.

01362318

11-2265

English

pp 81-88

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309167635

Print

References (15) ; Tables (3)

Case studies; Evaluation and assessment; Guidelines; Improvements; Infrastructure; Intelligent transportation systems; Strategic planning

Interstate 91 (Massachusetts)

Massachusetts

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Feb 17 2011 6:07PM

• Acceleration Estimation and Signature Matching Travel Time Estimation Enhancement for Standard Electromagnetic Vehicle Detectors
• Applying Emerging Private-Sector Probe-Based Speed Data in the National Capital Region’s Planning Processes
• Comparative Analysis of University Students’ Acquisition and Use of Travel Information
• Design and Implementation of Cooperative Vehicle and Infrastructure System Based on IEEE 802.11n
• Development and Evaluation of Enhanced IntelliDrive-Enabled Lane Changing Advisory Algorithm to Address Freeway Merge Conflict
• Empirical Analysis and Modeling of Drivers' Response to Variable Message Signs in Shanghai, China
• Estimation of Lane-Level Travel Times in Vehicle-to-Vehicle and Vehicle-to-Infrastructure–Based Traffic Information System
• Information Impacts on Route Choice and Learning Behavior in a Congested Network: Experimental Approach
• Integrated Traffic–Communication Simulation Evaluation Environment for IntelliDrive Applications Using SAE J2735 Message Sets
• Intelligent Transportation System Field Demonstration: Integration of Variable Speed Limit Control and Travel Time Estimation for a Recurrently Congested Highway
• Interaction of Human, Machine, and Environment in Automated Driving Systems
• Key Factors Affecting the Accuracy of Reidentification of Trucks over Long Distances Based on Axle Measurement Data
• Method for Preceding Vehicle Type Classification Based on Sparse Representation
• Real-Time Freeway-Experienced Travel Time Prediction Using N-Curve and k Nearest Neighbor Methods
• Survey of Models to Locate Sensors to Estimate Traffic Flows
• Sustainable Urban Transport: Smart Technology Initiatives in Singapore
• Vehicle-to-Infrastructure Traffic Information System for the Work Zone Based on Dedicated Short-Range Communication: Development and Field Demonstration