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OverviewThis book reflects the latest research trends, methods and experimental results in the field of traffic and transport, covering a wealth of state-of-the-art research theories and ideas. As a vital field of research, highly relevant to current developments in a number of technological areas, the topics covered include traffic data analysis, transport planning, multimodal and integrated transport, modelling and analysis of passenger behaviour, etc. The aim of the proceedings is to provide a major interdisciplinary forum for researchers, engineers, academics and industry professionals to present the most innovative research and development in the field of traffic and transportation. Engineers and researchers from academia, industry and government will also explore the solutions that combine ideas from different disciplines in the field. The volumes serve as an excellent reference for researchers and graduate students working in the field of traffic and transportation. Full Product DetailsAuthor: Lingyun Meng , Yongsheng Qian , Yun Bai , Bin LvPublisher: Springer Verlag, Singapore Imprint: Springer Nature Edition: 2024 ed. Volume: 617 ISBN: 9789819796397ISBN 10: 9819796393 Pages: 569 Publication Date: 14 November 2024 Audience: College/higher education , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of ContentsResearch on Automatic Transportation Scheme of Metro Station Based on Passenger-Freight Cooperation Mode.- Passenger Flow Assignment Model for Multi-routing Operation of Urban Rail Transit Based on Regret Theory.- Low-carbon Multimodal Transport Path Optimization Based on Genetic Particle Swarm Algorithm.- Demand Forecasting of Cold Chain Logistics for Agricultural Products Based on Gray BP Neural Networks.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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