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.
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.