R&D and Application of an Intelligent Dispatching System for Construction Vehicles in Large-Scale Building Projects

DOI

10.2991/978-94-6239-682-1_28How to use a DOI?

Keywords

Large-scale building projects; Construction vehicle dispatching; Multi-constraint path planning; Dynamic avoidance algorithm; Improved genetic algorithm

Abstract

Aiming at the core pain points of “multi-constraint, dynamic, and high-risk” in construction vehicle dispatching for large-scale building projects, an intelligent dispatching system integrating three core algorithms—multi-constraint path planning, dynamic avoidance, and multi-objective dispatching—was developed with the Beijing Yangzhen Shantytown Renovation Project as the demonstration scenario. A 3D road network model for building projects was constructed based on BIM+GIS, and real-time data were collected using UWB high-precision positioning (positioning accuracy ≤ 0.5m). Focus was placed on optimizing the “scene adaptability” and “real-time performance” of the algorithms: the multi-constraint path planning algorithm introduced the Analytic Hierarchy Process (AHP) to quantify the weights of 4 types of constraints, reducing the solution time to ≤ 2.8s; the dynamic avoidance algorithm determined vehicle type priorities based on fuzzy comprehensive evaluation, achieving a 100% conflict resolution rate; the multi-objective dispatching algorithm improved the genetic algorithm, resulting in an 18% reduction in transportation costs and a 17% increase in vehicle utilization rate. The algorithm steps and system applications were detailed through flowcharts, simulation diagrams, and real-scene diagrams. Pilot application in the Yangzhen Project showed that the system improves dispatching efficiency by 35% and reduces the safety accident rate to zero, providing a reproducible intelligent dispatching solution for large-scale building projects.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Kun Yang
AU  - Xiaodan Ma
AU  - Hang Yu
AU  - Xi Ma
AU  - Junyi Li
AU  - Zexuan Wang
AU  - Xiao Tan
PY  - 2026
DA  - 2026/06/30
TI  - R&D and Application of an Intelligent Dispatching System for Construction Vehicles in Large-Scale Building Projects
BT  - Proceedings of the 2025 7th International Conference on Civil Architecture and Urban Engineering (ICCAUE 2025)
PB  - Atlantis Press
SP  - 285
EP  - 298
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6239-682-1_28
DO  - 10.2991/978-94-6239-682-1_28
ID  - Yang2026
ER  -