大数据驱动的枢纽型道路交通设计优化与动态管控策略研究

Research on Hub-based Road Traffic Design Optimization and Dynamic Control Strategies Driven by Big Data: A Case Study of the West Extension Project of Fushi Road at Suzhou South Railway Station

摘要:

在大数据背景下，如何借助大数据技术驱动道路优化设计、提升流量管控效能，成为行业重点关注的问题。以某实际工程为研究对象，系统阐述项目道路交通与大数据结合的设计方案，结合多源大数据完成各个路段交通量的数据采集，辅助精准预测、车道规模论证。剖析项目总体设计枢纽衔接、轨道预留方案，建立从大数据采集到辅助应用的流量控制体系，实现枢纽客流与区域车流高效协同目标。研究成果旨在为枢纽型道路工程智慧化设计、交通管控提供参考范式。

Abstract:

In the context of big data, how to use big data technology to drive road optimization design and improve traffic control efficiency has become a key concern in the industry. Taking a certain road project as the research object, the design scheme of combining project road traffic with big data is systematically elaborated. Combined with the multi-source big data, the data collection of traffic volume for each road section is completed, which assists the accurate prediction and lane scale demonstration. The hub connection and track reservation schemes in the overall project design are analyzed, and a flow control system from big data collection to auxiliary applications is established in order to achieve the goal of efficient coordination between hub passenger flow and regional traffic flow. The research results aim to provide a reference paradigm for the intelligent design and traffic control of hub-based road engineering.