00743082

Component

https://doi.org/10.3141/1588-05

http://scholar.google.com...fani&publication_year=1997

PLANiTS (Planning and Analysis Integration for Intelligent Transportation Systems) is a process-based computer system that supports a series of mutually interdependent steps progressing toward developing and programming transportation improvement projects. It is a tool that translates problems and goals to performance measures, examines possible competing and complementary transportation improvement actions, systematically evaluates the impacts of actions using models and knowledge, and supports human interactions between stakeholders. The PLANiTS methodology is nonincremental because it integrates existing knowledge about transportation with analysis using models with deliberation and issue resolution. To link planning and modeling, PLANiTS has a policy base that contains contemporary performance measures, an action base containing conventional and Intelligent Transportation Systems actions, a methods base that facilitates modeling, a case that has qualitative and quantitative information about historical cases, and a set of computer-based communications tools. This comprehensive methodology will likely expedite the implementation of intelligent technologies by systematically examining their trade-offs with more conventional transportation improvement actions. PLANiTS's structure, functionality, and application are described. Transportation improvement projects are represented as planning vectors in PLANiTS. A vector permits users to examine the effects of chosen transportation actions in terms of performance measures within an environment. Users must specify the actions, performance measures, and the environment, each in terms of their spatial, temporal, and user dimensions. Then they can analyze the planning vector with models and case-based reasoning. During the process of planning vector specification and analysis, stakeholders at different locations can communicate by sending and receiving messages and sharing the planning vector. Users at different locations can examine and review the results and iterate in an open and deliberative planning environment. Overall, PLANiTS facilitates transportation planning processes by combining analysis and deliberation.

This paper appears in Transportation Research Record No. 1588, Intelligent Transportation Systems and Artificial Intelligence.

English

p. 32-40

1997

Transportation Research Record

0309061628

Figures (2) ; References (7)

Communications; Computers; Integrated systems; Intelligent transportation systems; Mathematical models; Methodology; Programming (Planning); Project management; Transportation; Transportation planning

Computer systems; Integration; Transportation improvement projects; Transportation models

Operations and Traffic Management; Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Nov 4 1997 12:00AM

• AUTOMATIC VEHICLE IDENTIFICATION TECHNOLOGY APPLICATIONS TO TOLL COLLECTION SERVICES
• COST-BENEFIT ANALYSIS ON DEPLOYMENT OF AUTOMATED HIGHWAY SYSTEMS
• CRITICAL REVIEW OF EXPERT SYSTEM VALIDATION IN TRANSPORTATION
• DEVELOPING A MARKET-SENSITIVE INTELLIGENT TRANSPORTATION SYSTEMS EDUCATIONAL PROGRAM
• DYNAMIC TRAFFIC ASSIGNMENT: GENETIC ALGORITHMS APPROACH
• EVALUATING EFFECTIVENESS OF REAL-TIME ADVANCED TRAVELER INFORMATION SYSTEMS USING A SMALL TEST VEHICLE FLEET
• FRAMEWORK FOR DEVELOPING A REGIONAL SYSTEM ARCHITECTURE FOR INTELLIGENT TRANSPORTATION SYSTEMS
• GUIDELINES FOR FUNDING OPERATIONS AND MAINTENANCE OF INTELLIGENT TRANSPORTATION SYSTEMS/ADVANCED TRAFFIC MANAGEMENT SYSTEMS
• INTELLIGENT TRANSPORTATION SYSTEMS AND SUSTAINABLE COMMUNITIES: FINDINGS OF A NATIONAL STUDY
• MACHINE LEARNING IN UPDATING PREDICTIVE MODELS OF PLANNING AND SCHEDULING TRANSPORTATION PROJECTS
• MACROSCOPIC MODELING OF FREEWAY TRAFFIC USING AN ARTIFICIAL NEURAL NETWORK
• PERSPECTIVES ON DRIVER PREFERENCES FOR DYNAMIC ROUTE GUIDANCE SYSTEMS
• PROMOTING ADVANCED TRAVELER INFORMATION SYSTEMS AMONG CELLULAR AND LAND-LINE PHONE USERS: SMARTRAVELER EXPERIENCE IN BOSTON
• REAL-TIME MULTIPLE-OBJECTIVE PATH SEARCH FOR IN-VEHICLE ROUTE GUIDANCE SYSTEMS
• TECHNICAL AND ECONOMIC VIABILITY OF AUTOMATED HIGHWAY SYSTEMS: PRELIMINARY ANALYSIS
• TRAFFIC ANALYSIS FOR HIGHWAY-TO-HIGHWAY INTERCHANGES ON AUTOMATED HIGHWAY SYSTEMS: CONGESTION IN ABSENCE OF DEDICATED RAMPS
• WILLINGNESS TO PAY FOR ADVANCED TRAVELER INFORMATION SYSTEMS: SMARTRAVELER CASE STUDY