Skip to main content
Taylor & Francis Group Logo
Advanced Search

Click here to search books using title name,author name and keywords.

  • Login
  • Hi, User  
    • Your Account
    • Logout
Advanced Search

Click here to search books using title name,author name and keywords.

Breadcrumbs Section. Click here to navigate to respective pages.

Chapter

Information and Rational Expectations in Modelling Driver Information Systems: A Welfare Measurement

Chapter

Information and Rational Expectations in Modelling Driver Information Systems: A Welfare Measurement

DOI link for Information and Rational Expectations in Modelling Driver Information Systems: A Welfare Measurement

Information and Rational Expectations in Modelling Driver Information Systems: A Welfare Measurement book

Information and Rational Expectations in Modelling Driver Information Systems: A Welfare Measurement

DOI link for Information and Rational Expectations in Modelling Driver Information Systems: A Welfare Measurement

Information and Rational Expectations in Modelling Driver Information Systems: A Welfare Measurement book

ByKiyoshi Kobayashi, Hirokazu Tatano
BookBehavioural and Network Impacts of Driver Information Systems

Click here to navigate to parent product.

Edition 1st Edition
First Published 1999
Imprint Routledge
Pages 24
eBook ISBN 9781351119740

ABSTRACT

This chapter presents an analytical framework to measure the economic values of information systems for route navigation. The rational expectations hypothesis requires drivers to anticipate the conditions of the routes according to the objective probability distributions of travel time conditioned on all of their information. The basic rationale behind rational expectations equilibrium (REE) modelling is that many drivers possess little reliable information concerning alternative route choice decisions. The route choices occur at points in time, called periods, which denote by an index n. The index can have values from zero to infinity. The driver must decide before supply side uncertainty is resolved. But, demand side uncertainty is resolved before route choices are made. Travel time of both routes varies over periods due to the fluctuation of captive traffic and of all drivers' route choices.

T&F logoTaylor & Francis Group logo
  • Policies
    • Privacy Policy
    • Terms & Conditions
    • Cookie Policy
    • Privacy Policy
    • Terms & Conditions
    • Cookie Policy
  • Journals
    • Taylor & Francis Online
    • CogentOA
    • Taylor & Francis Online
    • CogentOA
  • Corporate
    • Taylor & Francis Group
    • Taylor & Francis Group
    • Taylor & Francis Group
    • Taylor & Francis Group
  • Help & Contact
    • Students/Researchers
    • Librarians/Institutions
    • Students/Researchers
    • Librarians/Institutions
  • Connect with us

Connect with us

Registered in England & Wales No. 3099067
5 Howick Place | London | SW1P 1WG © 2021 Informa UK Limited