00818732

Component

https://doi.org/10.3141/1752-03

http://scholar.google.com...mans&publication_year=2001

The application of a multidimensional sequence alignment method for classifying activity travel patterns is reported. The method was developed as an alternative to the existing classification methods suggested in the transportation literature. The relevance of the multidimensional sequence alignment method is derived from the fact that structural information (both interdependency and sequential relationships) embedded in activity travel patterns is taken into account--a property not shared with existing classification methods. The performance of the multidimensional sequence alignment method is compared with several other methods (Euclidean distance and signal processing) that have been used in activity analysis in the past.

This paper appears in Transportation Research Record No. 1752, Travel Patterns and Behavior; Effects of Communications Technology.

English

p. 16-22

2001

Transportation Research Record

0309072131

Figures (1) ; References (32) ; Tables (3)

Activity choices; Pattern recognition systems; Travel patterns

Multidimensional sequence alignment method

Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Oct 1 2001 12:00AM

• ASSESSING URBAN CONTEXT-INDUCED CHANGE IN INDIVIDUAL ACTIVITY TRAVEL PATTERNS: CASE STUDY OF NEW RAILWAY STATION
• ASSOCIATION RULES IN IDENTIFICATION OF SPATIAL-TEMPORAL PATTERNS IN MULTIDAY ACTIVITY DIARY DATA
• COEVOLUTIONARY APPROACH TO EXTRACTING AND PREDICTING LINKED SETS OF COMPLEX DECISION RULES FROM ACTIVITY DIARY DATA
• DIRECT FORECASTING OF FREEWAY CORRIDOR TRAVEL TIMES USING SPECTRAL BASIS NEURAL NETWORKS
• DRIVERS' ROUTE CHOICE RULES AND NETWORK BEHAVIOR: DO DRIVERS BECOME RATIONAL AND HOMOGENEOUS THROUGH LEARNING?
• DYNAMIC TRAFFIC ANALYSIS WITH STATIC DATA: GUIDELINES WITH APPLICATION TO PARIS
• ESTIMATING TIME-DEPENDENT ORIGIN-DESTINATION TRIP TABLES WITH TRIPS ORIGINATING IN MULTIPLE TIME SLICES
• EXPERIMENTS WITH COMPUTERIZED SELF-ADMINISTRATIVE ACTIVITY SURVEY
• INDUCTIVE LEARNING APPROACH TO EVOLUTIONARY DECISION PROCESSES IN ACTIVITY-SCHEDULING BEHAVIOR: THEORY AND NUMERICAL EXPERIMENTS
• MODELING AUTOMOBILE DEMAND AND DRIVER POPULATION IN PALESTINIAN TERRITORIES: SIMULTANEOUS-EQUATION ESTIMATION METHOD
• MODELING EFFECTS OF ANTICIPATED TIME PRESSURE ON EXECUTION OF ACTIVITY PROGRAMS
• MODELING ROUTE CHOICE BEHAVIOR WITH STOCHASTIC LEARNING AUTOMATA
• MULTILEVEL ANALYSIS OF ACTIVITY AND TRAVEL PATTERNS: ACCOUNTING FOR PERSON- AND HOUSEHOLD-SPECIFIC OBSERVED AND UNOBSERVED EFFECTS SIMULTANEOUSLY
• REAL-TIME VARIABLE MESSAGE SIGN-BASED ROUTE GUIDANCE CONSISTENT WITH DRIVER BEHAVIOR
• SAMPLING ALTERNATIVES FROM COLOSSAL CHOICE SET: APPLICATION OF MARKOV CHAIN MONTE CARLO ALGORITHM
• STOCHASTIC USER EQUILIBRIUM FORMULATION FOR GENERALIZED NESTED LOGIT MODEL
• TELECOMMUTING IMPLICATIONS FOR TRAVEL BEHAVIOR: CASE STUDIES FROM MINNESOTA
• TIMETABLE-BASED TRANSIT ASSIGNMENT USING BRANCH AND BOUND TECHNIQUES
• TRAVEL BEHAVIOR IMPLICATIONS OF INFORMATION AND COMMUNICATIONS TECHNOLOGY IN PUGET SOUND REGION
• WITHIN-HOUSEHOLD ALLOCATION OF TRAVEL: CASE OF UPPER AUSTRIA