Integrating Feedback into the Transportation Planning Model: Structure and Application

Transportation Research Record No. 1413 70-77, 1994

29 Pages Posted: 12 Sep 2007

See all articles by David Matthew Levinson

David Matthew Levinson

affiliation not provided to SSRN

Ajay Kumar

Polytechnic University - Department of Chemical Engineering & Chemistry

Multiple version iconThere are 2 versions of this paper

Abstract

This research develops and applies a new structure for the transportation planning model that includes feedback between demand, assignment, and traffic control. New methods, combined with a renewed interest in transportation planning models prompted by the Clean Air Act of 1990 and the Intermodal Surface Transportation Efficiency Act of 1991, warrant a reconsideration of the traditional four-step transportation planning model. This paper presents an algorithm for feedback which results in consistent travel times as input to travel demand and output from route assignment. The model, including six stages of Trip Generation, Destination Choice, Mode Choice, Departure Time Choice, Route Assignment and Intersection Control is briefly outlined. This is followed by an application comparing a base year 1990 application with a forecast year of 2010. The 2010 forecast is solved both with and without feedback for comparison purposes. Incorporation of feedback gives significantly different results than the standard model.

Suggested Citation

Levinson, David Matthew and Kumar, Ajay, Integrating Feedback into the Transportation Planning Model: Structure and Application. Transportation Research Record No. 1413 70-77, 1994. Available at SSRN: https://ssrn.com/abstract=1012103

David Matthew Levinson (Contact Author)

affiliation not provided to SSRN

Ajay Kumar

Polytechnic University - Department of Chemical Engineering & Chemistry ( email )

Six Metrotech Center
Brooklyn, NY 11201
United States
718-260-3027 (Phone)
718-875-9646 (Fax)

HOME PAGE: http://chem.poly.edu/gross/ajayk.cfm

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
77
Abstract Views
847
rank
203,814
PlumX Metrics