Advanced public transport and intelligent transport systems: new modelling challenges

Document Type

Journal Article

Publication Date

2016

Subject Area

technology - intelligent transport systems, technology - passenger information, technology - geographic information systems, ridership - behaviour, ridership - demand, ridership - modelling, planning - travel demand management, planning - signage/information

Keywords

Advanced traveller information systems, transit trip planners, transit operations control, transit system short-term forecasting, simulation-based transit assignment, individual path choice modelling, real-time transit reverse assignment

Abstract

Transit system ‘big data’ collecting and processing, and bidirectional communication between transit travellers and information centres are emerging as two factors that enhance the tools supporting short-term forecasting of network status for transit operations control and for traveller information. However, the current methodologies applied in these tools do not seem to have reached the level of research in the field of transit network modelling. Therefore, several methodological issues connected to the development of such tools are analysed in this paper. These issues concern application and development of real-time on-board load short-term forecasting methods, real-time best path advice, real-time transit assignment modelling, individual path choice modelling, and real-time updating and upgrading of demand and supply model parameters.

Rights

Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.

Link to Full Text

Share

COinS