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Network-constrained trajectory analysis is the study of movement constrained by an underlying network, such as a road system. Such analysis has become increasingly important in addressing contemporary urban challenges. With the growing availability of Global Navigation Satellite System (GNSS) data, it is now possible to analyze mobility patterns at scale and with high precision. This chapter explores how GNSS data can be leveraged to support urban planning, with a particular focus on two key applications: road traffic management and sustainable mobility. By examining vehicle trajectories, we highlight methods for quantifying congestion, monitoring traffic dynamics, and promoting environmentally friendly practices such as eco-driving and eco-routing.

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Network-Constrained Trajectory Data for Traffic Analytics

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Rodrigo Sasse David,
  • Kristian Torp,
  • Mahmoud Sakr,
  • Esteban Zimányi

摘要

Network-constrained trajectory analysis is the study of movement constrained by an underlying network, such as a road system. Such analysis has become increasingly important in addressing contemporary urban challenges. With the growing availability of Global Navigation Satellite System (GNSS) data, it is now possible to analyze mobility patterns at scale and with high precision. This chapter explores how GNSS data can be leveraged to support urban planning, with a particular focus on two key applications: road traffic management and sustainable mobility. By examining vehicle trajectories, we highlight methods for quantifying congestion, monitoring traffic dynamics, and promoting environmentally friendly practices such as eco-driving and eco-routing.