00803789

Component

https://doi.org/10.3141/1725-06

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

A comprehensive set of Global Positioning System (GPS) vehicle location data from Lexington, Kentucky, households was analyzed to determine if such data can be helpful in improving path choice assumptions in traffic assignment models. The portion of the data used consisted primarily of a reconstruction of the street network and the lists of street segments in each path. Analysis was based on matches of trips (e.g., pairs of trips with similar origins and destinations). Matches were obtained for trips within households and for trips across households. Statistics used to compare trips in matches were a path deviation index and the percentage of identical links. It was found that the path chosen on a trip was quite sensitive to the location of the origin and destination and that the chosen path most often differed considerably from the shortest time path across the network. Paths for trips made by the same driver were very consistent over time; paths by different drivers showed more deviations even when the trip ends were the same or very similar. As a result of this research, recommendations are made as to how GPS data on path choice can be better collected in the future for improvement of traffic assignment models.

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

English

p. 37-44

2000

Transportation Research Record

0309067286

Figures (5) ; References (14) ; Tables (5)

Data collection; Global Positioning System; Households; Origin and destination; Route choice; Traffic assignment

Lexington (Kentucky)

Highways; Planning and Forecasting; Society; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Dec 4 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
• ANTICIPATORY OPTIMIZATION OF TRAFFIC CONTROL
• 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
• VALUE OF TIME IN FREIGHT TRANSPORT IN FINLAND