A STUDY CONCERNING COMMUTER'S TRIP GENERATION

PREDICTING URBAN TRIP GENERATION USING A FUZZY EXPERT SYSTEM

One of the most important stages in the urban transportation planning procedure is predicting the rate of trips generated by each trac zone. Currently, multiple linear regression models are frequently used as a prediction tool. This method predicts the number of trips produced from, or attracted to each trac zone according to the values of independent variables for that zone. One of the main li...

A Combined Trip Generation, Trip Distribution, Modal Split, and Trip Assignment Model

The traditional four-step model has been widely used in travel demand forecasting by considering trip generation, trip distribution, modal split and traffic assignment sequentially in a fixed order. However, this sequential approach suffers from the inconsistency among the level-of-service and flow values in each step of the procedure. In the last two decades, this problem has been addressed by...

Specifying, Estimating, and Validating a New Trip Generation Model: A Case Study of Montgomery County, Maryland

This paper discusses the development of an afternoon peak period trip generation model for both work and non-work trips. Three data sources are used in model development, a Household Travel Survey, a Census-Update Survey, and a Trip Generation Study. Seven one-direction trip purposes are defined, specifically accounting for stops made on the return trip from work to home. Trips are classified b...

Regression Analysis for Transport Trip Generation Evaluation

The paper focuses on transportation trip generation models based on mixed-use and transport infrastructure near the site. Transport trip generation models are considered with an aim to improve the accuracy of transport generated trips. Information systems are reviewed, and “smart growth” criteria that could affect the accuracy of trip generation models are also identified. Experimental results ...

Rewarding rush-hour avoidance: A study of commuters’ travel behavior