集成走廊管理的数据分析和机器学习

English | 2025 | ISBN: 103257464X | 242 pages | True PDF EPUB | 38.05 MB

In an era defined by rapid urbanization and ever-increasing mobility demands, effective transportation management is paramount. This book takes readers on a journey through the intricate web of contemporary transportation systems, offering unparalleled insights into the strategies, technologies, and methodologies shaping the movement of people and goods in urban landscapes. From the fundamental principles of traffic signal dynamics to the cutting-edge applications of machine learning, each chapter of this comprehensive guide unveils essential aspects of modern transportation management systems. Chapter by chapter, readers are immersed in the complexities of traffic signal coordination, corridor management, data-driven decision-making, and the integration of advanced technologies. Closing with chapters on modeling measures of effectiveness and computational signal timing optimization, the guide equips readers with the knowledge and tools needed to navigate the complexities of modern transportation management systems. With insights into traffic data visualization and operational performance measures, this book empowers traffic engineers and administrators to design 21st-century signal policies that optimize mobility, enhance safety, and shape the future of urban transportation.

中文|2025 |ISBN:103257464X|242页|True PDF EPUB | 38.05 MB在快速城市化和日益增长的出行需求所定义的时代，有效的交通管理至关重要。本书带领读者穿越错综复杂的当代交通系统网络，为塑造城市景观中人员和货物流动的策略、技术和方法提供了无与伦比的见解。从交通信号动力学的基本原理到机器学习的前沿应用，本综合指南的每一章都揭示了现代交通管理系统的基本方面。每一章，读者都沉浸在交通信号协调、走廊管理、数据驱动决策和先进技术集成的复杂性中。本指南以关于有效性建模措施和计算信号时序优化的章节结束，为读者提供了应对现代交通管理系统复杂性所需的知识和工具。通过对交通数据可视化和运营绩效指标的深入了解，本书使交通工程师和管理人员能够设计21世纪的信号政策，优化机动性，提高安全性，塑造城市交通的未来。

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