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Modelling Intelligent Multi-Modal Transit Systems

By: (Edited by) Agostino Nuzzolo , (Edited by) William H. K. Lam

Extended Catalogue

Ksh 27,900.00

Format: Hardback or Cased Book

ISBN-10: 1498743536

ISBN-13: 9781498743532

Publisher: Taylor & Francis Inc

Imprint: CRC Press Inc

Country of Manufacture: US

Country of Publication: GB

Publication Date: Nov 10th, 2016

Print length: 338 Pages

Weight: 666 grams

Dimensions (height x width x thickness): 23.60 x 15.70 x 2.30 cms

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The growing mobility needs of travellers have led to the development of increasingly complex and integrated multi-modal transit networks. A pre-condition for the development of an effective multi-modal transit system is the integration of ICT tools that will support the needs of transit operators and travellers. To achieve this, reliable real-time simulation and short-term forecasting of passenger demand and service network conditions are required to provide both real-time traveller information and synchronised transit service planning and operations control. Modelling Intelligent Multi-Modal Transit Systems introduces the current trends in this newly emerging area.

The growing mobility needs of travellers have led to the development of increasingly complex and integrated multi-modal transit networks. Hence, transport agencies and transit operators are now more urgently required to assist in the challenging task of effectively and efficiently planning, managing, and governing transit networks. A pre-condition for the development of an effective intelligent multi-modal transit system is the integration of information and communication technology (ICT) tools that will support the needs of transit operators and travellers. To achieve this, reliable real-time simulation and short-term forecasting of passenger demand and service network conditions are required to provide both real-time traveller information and successfully synchronise transit service planning and operations control.

Modelling Intelligent Multi-Modal Transit Systems

introduces the current trends in this newly emerging area. Recent developments in information technology and telematics have enabled a large amount of data to become available, thus further attracting transport researchers to set up new models outside the context of the traditional data-driven approach. The alternative demand-supply interaction or network assignment

modelling approach has improved greatly in recent years and has a crucial role to play in this new context.


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