Combining ITS and optimization in public transportation planning: state of the art and future research paths


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Date

2019-12

Publication Type

Journal Article

ETH Bibliography

no

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Abstract

Intelligent Transportation Systems (ITS) applications in public transportation have allowed for automated data collection, which is particularly useful for planning and operations. While technological advancement of ITS has so far been extensive, their usage for developing relevant planning and operational tools is rather limited. Research on planning and operations of public transportation systems has not widely investigated the potential of combining optimization models with data originating from ITS. Such applications, which could benefit from such an approach include route planning, scheduling and resource allocation in real time. In this context, this paper investigates and critically discusses potential models and methodologies in public transport planning and operations, which can benefit from ITS data, highlights their potential and identifies possible research paths on that area. The overview of literature collectively points to a series of common challenges faced by transportation professionals and underlines the need for better decision support tools for ITS data.

Publication status

published

Editor

Book title

Volume

11 (1)

Pages / Article No.

27

Publisher

Springer

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Optimization; Public transportation; ITS; Automatic vehicle location; Automatic passenger counting; Automatic fare collection

Organisational unit

08686 - Gruppe Strassenverkehrstechnik check_circle
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG

Notes

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