00489558

Component

http://onlinepubs.trb.org...trr/1988/1203/1203-007.pdf

https://scholar.google.co...phan&publication_year=1988

The interaction between departure time and route switching in response to experienced congestion in a traffic commuting system is investigated using an experimental approach in which actual commuters interact over a period of seven weeks in a simulated commuting system. This experiment extends previous observational work along this line by incorporating the route choice dimension, which is essential to an understanding of user choice dynamics in congested urban systems. Another important feature of this experiment is the consideration of two groups of commuters with different information availability levels interacting in the same system, thereby allowing the analysis of the effect of information on user behavior and performance. The implications of the findings for the design of information-related strategies for the relief of congestion in urban networks are also discussed.

This paper appears in Transportation Research Record No. 1203, Demand Forecasting and Trip Generation-Route Choice Dynamics. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved

01413989

0000-0002-8443-8928

p. 69-84

1988

Transportation Research Record

0309047692

Figures (11) ; References (32) ; Tables (7)

Behavior; Commuters; Departure time; Experiments; Information management; Information, data, and knowledge; Route choice; Supply; Traffic congestion; Traffic diversion; Urban areas

Availability; Route switching

Data and Information Technology; Highways; Passenger Transportation; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Nov 30 1989 12:00AM

• DATA COMBINATION AND UPDATING METHODS FOR TRAVEL SURVEYS
• EMPIRICAL ANALYSIS OF TRIP CHAINING BEHAVIOR
• ESTIMATION OF TRIP MATRICES: SHORTCOMINGS AND POSSIBILITIES FOR IMPROVEMENT
• FORMULATION OF TRIP GENERATION MODELS USING PANEL DATA
• PREDICTING PEAK-SPREADING UNDER CONGESTED CONDITIONS
• TRAFFIC VOLUME FORECASTING METHODS FOR RURAL STATE HIGHWAYS