Spatio-temporal characterization of port road transport based on big data

Shuo Sun; Yue Li; Yuanyuan Shi; Huajun Xu; Cuicui Li

doi:10.1117/12.3051035

20 January 2025 Spatio-temporal characterization of port road transport based on big data

Shuo Sun, Yue Li, Yuanyuan Shi, Huajun Xu, Cuicui Li

Author Affiliations +

Proceedings Volume 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024); 134221C (2025) https://doi.org/10.1117/12.3051035
Event: Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 2024, Xi'an, China

Abstract

Despite numerous actions taken by port authorities to enable modal shift, road transport has been playing a dominating role in serving the hinterland of many ports. To address the problem that it is difficult to grasp the operating characteristics of lorries on port roads. This study establishes a port truck travel chain identification model based on truck trajectory data and port spatial distribution. By screening the truck travel chain associated with the port, we analyse the spatio-temporal operation characteristics of road trucks and mine the distribution of port economic hinterland. The Dongjiakou port area of Qingdao port in China is used to illustrate and analyse. This study aims to help port enterprises understand the current situation of port road transport operations, which is of great significance for port strategic planning and market decision-making.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shuo Sun, Yue Li, Yuanyuan Shi, Huajun Xu, and Cuicui Li "Spatio-temporal characterization of port road transport based on big data", Proc. SPIE 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 134221C (20 January 2025); https://doi.org/10.1117/12.3051035

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