| Description |
1 online resource |
| Contents |
Cover ; Half Title ; Title Page ; Copyright Page ; Preface ; Table of Contents ; List of Figures ; 1: Introduction to Modelling Multimodal Transit Systems in an ITS Context ; 1.1 Introduction ; 1.2 On-board Load Forecasting Methodologies |
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1.3 Real-time Transit Assignment Modelling 1.3.1 Transit Assignment Model Classification ; 1.3.2 Mesoscopic Simulation-based Models ; 1.3.3 General Requirements of Real-time Mesoscopic TAMs ; 1.4 Advanced Path Choice Modelling ; 1.4.1 Path Choice Modelling for Unreliable Networks |
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1.4.2 Individual Path Choice Modelling 1.5 Real-time Upgrading of the O-D Matrix and Model Parameters ; 1.6 Concluding Remarks ; References ; 2: New Applications of ITS to Real-time Transit Operations ; 2.1 Introduction ; 2.2 Multi-Agent Transit System (MATS) |
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2.3 Synchronized Transfers 2.3.1 Network Simulation ; 2.4 Real-time Operational Tactics ; 2.4.1 Holding and Skip-stop/Segment Tactics for Transfer Synchronization ; 2.4.2 Case Study of Real-time Tactics Implementation |
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2.4.3 A Robust, Tactic-based, Real-time Framework for Transfer Synchronization 2.4.4 Case Study of Different Control Policies ; 2.4.5 Analysis ; 2.5 Customized Bus (CB) ; 2.5.1 Demand-based CB Service Design ; 2.5.2 CB Operations-planning Process |
| Summary |
"The growing mobility needs of travellers have led 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 also successfully synchronised transit service planning and operations control. 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. One of the key objectives of this work is to introduce the current trends in this newly emerging area. The book will be of interest to urban planners, public transport agency technicians, Decision Support System (DSS) tool developers, students and researchers"--Provided by publisher |
| Notes |
"A Science Publishers book." |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Local transit -- Technological innovations
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Local transit -- Mathematical models
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Transportation -- Technological innovations
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Transportation -- Mathematical models
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BUSINESS & ECONOMICS -- Industries -- Transportation.
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TRANSPORTATION -- Public Transportation.
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Local transit -- Mathematical models
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Local transit -- Technological innovations
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Transportation -- Mathematical models
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Transportation -- Technological innovations
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| Form |
Electronic book
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| Author |
Nuzzolo, Agostino, editor
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Lam, William H. K., editor
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| ISBN |
9781498743549 |
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1498743544 |
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9781315351988 |
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1315351986 |
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