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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.
Sommario
Introduction to Modelling Multimodal Transit Systems in an ITS Context. New Applications of ITS to Real-Time Transit Operations. A New Generation of Individual Real-Time Transit Information Systems. Real-Time Operations Management Decision Support Systems: A Conceptual Framework. Real-time Modelling of Normative Travel Strategies on Unreliable Dynamic Transit Networks: A Framework Analysis. A Dynamic Strategy-based Path Choice Modelling in Real-Time Transit Simulation. Time-dependent Shortest Hyperpaths for Dynamic Routing on Transit Networks. Real-time Reverse Dynamic Assignment for Multiservice Transit Systems. Optimal Schedules for Multimodal Transit Services: An Activity-Based Approach. Transit Network Design with Stochastic Demand.
Info autore
Agostino Nuzzolo, William H. K. Lam
Riassunto
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.
