00803798

Component

https://doi.org/10.3141/1725-15

http://scholar.google.com...aale&publication_year=2000

Traffic control and travelers' behavior are two mutually influential processes with different objectives. Decisions made in traffic control influence travelers' possibilities in choosing their preferred mode, route, and time of departure; and the choices made by travelers influence the optimization possibilities for traffic control. This research presents the results of simulation studies and a mathematical analysis of this bilevel optimization problem. Under certain conditions, multiple stable situations are possible, but some of these situations are sensitive to small disturbances by which the system moves away from the original equilibrium state. There appears to be a nonlinear relationship between system parameters and the character and location of the equilibrium situations. The details of the travel time model appear to have a large influence. If road authorities want to optimize traffic control, they have to anticipate the reaction of travelers. This makes the optimization process much more complicated. Iterative optimization, where traffic control is adjusted as soon as traffic conditions change, generally does not lead to a system optimum. Methods are therefore necessary that allow for the optimization of traffic control while taking into account that traffic flows will change as a result of traffic control.

This paper appears in Transportation Research Record No. 1725, Freight Travel Behavior, Route Choice Behavior, and Advanced Traveler Information Systems.

English

p. 109-115

2000

Transportation Research Record

0309067286

Figures (7) ; References (17) ; Tables (1)

Equilibrium (Systems); Mathematical analysis; Optimization; Simulation; Traffic control; Traffic flow; Travel behavior; Travel time

Anticipatory optimization

Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning; I73: Traffic Control

TRIS, TRB, ATRI

Dec 5 2001 12:00AM

• AGGREGATE- AND DISAGGREGATE-BASED TRAVEL TIME ESTIMATIONS: COMPARISON OF APPLICATIONS TO SUSTAINABILITY ANALYSIS AND ADVANCED TRAVELER INFORMATION SYSTEMS
• ANALYSIS OF TIME ALLOCATION, DEPARTURE TIME, AND ROUTE CHOICE BEHAVIOR UNDER CONGESTION PRICING
• ANTICIPATED TRAVEL TIME, INFORMATION ACQUISITION, AND ACTUAL EXPERIENCE
• BICRITERION TRAFFIC EQUILIBRIUM: T2 MODEL, ALGORITHM, AND SOFTWARE OVERVIEW
• CONTENT OF VARIABLE MESSAGE SIGNS AND ON-LINE DRIVER BEHAVIOR
• FRAMEWORK FOR THE ANALYSIS OF GROCERY TELESHOPPING
• FREIGHT TRAVEL DEMAND MODELING: SYNTHESIS OF APPROACHES AND DEVELOPMENT OF A FRAMEWORK
• MODELING BEHAVIORAL ASPECTS OF URBAN FREIGHT MOVEMENT IN SUPPLY CHAINS
• MODELING INERTIA AND COMPLIANCE MECHANISMS IN ROUTE CHOICE BEHAVIOR UNDER REAL-TIME INFORMATION
• PERCEIVED VALUE OF TIME FOR TRUCK OPERATORS
• ROUTE AND SCHEDULING CHOICE UNDER TRAVEL TIME UNCERTAINTY
• ROUTE CHOICE MODEL WITH INDUCTIVE LEARNING
• TRAVELER RESPONSES TO ADVANCED TRAVELER INFORMATION SYSTEMS FOR SHOPPING TRIPS: INTERACTIVE SURVEY APPROACH
• USING GLOBAL POSITIONING SYSTEM DATA TO UNDERSTAND VARIATIONS IN PATH CHOICE
• VALUE OF TIME IN FREIGHT TRANSPORT IN FINLAND