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Title: Analysis of Public Transportation Planning and Operations
Accession Number: 01456601
Record Type: Component
Availability: Find a library where document is available Abstract: Public transportation transports people in aggregated form. Aggregation takes place in space and time. Spatial aggregation occurs at the stations (stops) and in the network, while time aggregation is accommodated by the predetermined departure and arrival schedule. By aggregating passengers in a limited number of vehicles and corridors, public transportation offers many benefits over private auto transportation. It reduces traffic congestion by decreasing the number of vehicles on the roads, it promotes energy efficiency, and it also promotes compact and mixed land use. In order to realize these benefits of public transportation, however, the parameters of transit operations and services must be selected carefully. The parameters are many and they are interrelated in a complex manner. The processes for planning, designing, and operating transit services involve various trade-offs among the selection of the parameter values. Analysis of transit operation has traditionally been conducted within the classical framework of optimization using the statistical approach or classical mathematical optimization. This article reviews the opportunities which artificial intelligence (AI) and advanced computing can offer in order to overcome some of the analytical barriers in the traditional approaches.
Monograph Accession #: 01456594
Language: English
Authors: Kikuchi, ShinyaPagination: pp 113-120
Publication Date: 2012-11
Serial: Media Type: Web
Features: Figures; References
TRT Terms: Uncontrolled Terms: Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning
Files: TRIS, TRB, ATRI
Created Date: Dec 11 2012 9:45AM
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