Urban Freight Analytics: Big Data, Models, and Artificial Intelligence
暫譯: 城市貨運分析：大數據、模型與人工智慧

Taniguchi, Eiichi, Thompson, Russell G., Qureshi, Ali G.

Urban Freight Analytics: Big Data, Models, and Artificial Intelligence
  • 出版商: CRC
  • 出版日期: 2025-06-27
  • 售價: $2,350
  • 貴賓價: 9.5 折 $2,233
  • 語言: 英文
  • 頁數: 170
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032199377
  • ISBN-13: 9781032199375
  • 相關分類: 人工智慧、大數據 Big-data

    • 尚未上市，無法訂購

相關主題

商品描述

Urban Freight Analytics examines the key concepts associated with the development and application of decision support tools for evaluating and implementing city logistics solutions. New analytical methods are required for effectively planning and operating emerging technologies including the Internet of Things (IoT), Information and Communication Technologies (ICT), and Intelligent Transport Systems (ITS).

The book provides a comprehensive study of modelling and evaluation approaches to urban freight transport. It includes case studies from Japan, the US, Europe, and Australia that illustrate the experiences of cities that have already implemented city logistics, including analytical methods that address the complex issues associated with adopting advanced technologies such as autonomous vehicles and drones in urban freight transport.

Also considered are future directions in urban freight analytics, including hyperconnected city logistics based on the Physical Internet (PI), digital twins, gamification, and emerging technologies such as connected and autonomous vehicles in urban areas. An integrated modelling platform is described that considers multiple stakeholders or agents, including emerging organisations such as PI companies and entities such as crowd-shippers as well as traditional stakeholders such as shippers, receivers, carriers, administrators, and residents.

This book

  • Presents procedures for evaluating city logistics technologies and policy measures
  • Provides an overview of advanced modelling approaches, including agent-based model and machine learning
  • Highlights the essential features of optimisation and simulation models applied to city logistics
  • Discusses how models incorporating more uncertainty and dynamic data can be used to improve the sustainability and resilience of urban freight systems

The book is ideal for graduate students in civil and environmental engineering and logistics management, urban planners, transport engineers, and logistics specialists.

商品描述(中文翻譯)

《城市貨運分析》探討了與開發和應用決策支持工具以評估和實施城市物流解決方案相關的關鍵概念。有效規劃和運營新興技術（包括物聯網 (IoT)、資訊與通信技術 (ICT) 和智能交通系統 (ITS)）需要新的分析方法。

本書提供了對城市貨運交通建模和評估方法的全面研究。它包括來自日本、美國、歐洲和澳洲的案例研究，這些案例展示了已經實施城市物流的城市經驗，包括針對在城市貨運交通中採用自動駕駛車輛和無人機等先進技術所面臨的複雜問題的分析方法。

本書還考慮了城市貨運分析的未來方向，包括基於物理互聯網 (PI) 的超連接城市物流、數位雙胞胎、遊戲化以及在城市地區出現的連接和自動駕駛車輛等新興技術。書中描述了一個綜合建模平台，考慮了多個利益相關者或代理，包括新興組織如 PI 公司和眾包運輸者，以及傳統利益相關者如發貨人、收貨人、承運人、管理者和居民。

**本書的特色**

- 提供評估城市物流技術和政策措施的程序
- 概述先進的建模方法，包括基於代理的模型和機器學習
- 突出應用於城市物流的優化和模擬模型的基本特徵
- 討論如何利用包含更多不確定性和動態數據的模型來改善城市貨運系統的可持續性和韌性

本書非常適合土木與環境工程、物流管理的研究生、城市規劃師、交通工程師和物流專家。

作者簡介

Eiichi Taniguchi is a Professor Emeritus of Kyoto University, Japan. He has performed research on transport and logistics systems focusing on city logistics for sustainable, liveable and resilient cities. He is a founder and President of Institute for City Logistics. He published 23 books and over 240 academic papers on urban freight transport and Intelligent Transport Systems. His recent research covers city logistics based on big data, artificial intelligence, autonomous vehicles, robots and the collaboration of stakeholders.

Russell G. Thompson is a Professor in Transport Engineering at the University of Melbourne where he leads the Physical Internet Lab. Russell was a founding Director and has been the Vice President of the Institute for City Logistics based in Kyoto since 1999. His research areas are City Logistics, Physical Internet (PI), resilient transport systems and intelligent transport systems. Russell has published over 15 books and 150 refereed publications in the field of urban freight.

Ali G. Qureshi is an associate professor in Department of Urban Management at Kyoto University, Japan. His research interests are related with exact and heuristics optimization of different variants of vehicle routing and facility location problems, and their integration in different frameworks such as multi-agent systems, and their application in evaluation of city logistics measures. He regularly contributes high quality research papers in leading international and regional (Asia-Pacific) journals and in peer reviewed conferences related with his areas of research.

作者簡介(中文翻譯)

谷口英一是日本京都大學的名譽教授。他專注於可持續、宜居和韌性城市的城市物流運輸與物流系統研究。他是城市物流研究所的創始人及會長。他出版了23本書籍和超過240篇有關城市貨運和智慧交通系統的學術論文。他最近的研究涵蓋基於大數據、人工智慧、自動駕駛車輛、機器人及利益相關者合作的城市物流。

拉塞爾·G·湯普森是墨爾本大學的交通工程教授，並領導物理互聯網實驗室。拉塞爾自1999年以來一直是京都城市物流研究所的創始董事和副會長。他的研究領域包括城市物流、物理互聯網（PI）、韌性交通系統和智慧交通系統。拉塞爾在城市貨運領域已出版超過15本書籍和150篇經過審核的學術論文。

阿里·G·庫雷希是日本京都大學城市管理系的副教授。他的研究興趣與不同變體的車輛路徑規劃和設施選址問題的精確和啟發式優化有關，並探討它們在多代理系統等不同框架中的整合，以及在城市物流措施評估中的應用。他定期在國際和區域（亞太）領先期刊及同行評審的會議上發表高品質的研究論文，與他的研究領域相關。

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