Vehicle scheduling method and system for monitoring city based on bus walk and medium

By dividing urban areas into hotspot monitoring and opportunity sensing areas, constructing a spatiotemporal matching matrix between bus GPS trajectories and the areas, and establishing a sensor-bus deployment optimization model, the problem that existing bus mobile monitoring methods cannot achieve continuous monitoring of hotspot areas is solved, thus achieving a balance between continuous monitoring of urban hotspot areas and overall monitoring benefits.

CN122416747APending Publication Date: 2026-07-17SICHUAN GUOLAN ZHONGTIAN ENVIRONMENTAL TECH GRP CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SICHUAN GUOLAN ZHONGTIAN ENVIRONMENTAL TECH GRP CO LTD
Filing Date
2026-04-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing bus-based mobile monitoring methods are insufficient for achieving continuous and mandatory monitoring of urban hotspots at a low cost and with wide coverage, and they also struggle to balance the monitoring benefits of key areas with those of the overall area.

Method used

The urban area is divided into hotspot monitoring areas and opportunity sensing areas. A spatiotemporal matching matrix between bus GPS trajectories and the areas is constructed. A sensor-bus deployment optimization model is established. The optimal sensor deployment scheme is solved through a dual-objective optimization model to ensure continuous monitoring of hotspot areas while taking into account the overall monitoring benefits.

Benefits of technology

It enables continuous and mandatory monitoring of urban hotspots, balances the monitoring benefits of key areas and the overall area, resolves the inherent contradiction between continuous monitoring of key areas and maximizing overall benefits, and provides a reliable environmental monitoring and scheduling scheme.

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Abstract

本发明提供了基于公交车走航监测城市的车辆调度方法、系统及介质,涉及车辆调度技术领域,包括:分别构建公交车GPS轨迹与热点监测区域、公交车GPS轨迹与机会感知区域的三维布尔矩阵作为第一、第二矩阵,构建传感器部署公交车辆的二元决策变量;构建传感器‑公交车部署优化模型,求解模型,得到最优传感器部署公交车辆的二元决策变量;根据最优的二元决策变量,遍历所有二元决策变量=1的情形,生成传感器部署公交车辆集合,作为传感器部署方案。本发明通过双目标协同优化,为热点监测区域提供了确定性的、无间断的监测保障,且有效平衡城市重点区域的刚性监测需求和整体监测效益,贴合实际环境管理工作逻辑。
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