Interactive graphics for transportation systems planning and design

Author(s):  
J. B. Schneider
Author(s):  
Georgiana Madar ◽  
Hanna Maoh ◽  
Kevin Gingerich

The planning and design of efficient transportation systems require an in-depth understanding of the micro-behaviour governing vehicle movements. Recent efforts to analyze commercial vehicle movements have begun focusing on the collection and usage of detailed microdata sets. This paper contributes to these efforts by devising statistical models for predicting the number of outbound commercial vehicle trips at the firm level given a sample of establishments in the Windsor, Ontario region. A comparison was made between a model that can be created using microdata obtained through an establishment survey, a model that utilized commercial firm lists with basic firm attributes that include employment size and industry classification, and a modified model with the basic variables and limited detailed microdata. The results suggest that commercial firm datasets can be used to generate reasonable predictions. However, additional information about employment, industry, vehicle ownership and other firm characteristics certainly enhance the models’ predictive ability.


2011 ◽  
pp. 63-77 ◽  
Author(s):  
Thomas A. Horan

This chapter analyzes the role of users in enacting Intelligent Transportation Systems (ITS) functions and services. Preliminary evidence from recent demonstrations and market research studies is reviewed with a focus on the role of travelers in producing and using information about traffic conditions and traveler options. The potential for systems development is then considered with specific regard to alternative mode travel, flexible travel, emergency, and commercial services. Based on these findings, several directions and recommendations are made for creating the next generation of ITS systems that enhance user-based elements. Several areas for research and development are recommended, including integrating a wider range of market segments into ITS systems planning, developing a better understanding of how users drive complex systems, and creating new institutional partnerships for delivering innovative services.


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