Yancheng Highway Development Center takes the industry focus of ordinary national and provincial highway heavy-duty transportation as the starting point, takes "data collection as the basis, multi-source integration as the breakthrough, and intelligent analysis as the core" as the main line, and is based on the real-time access, integration, and analysis of multi-source data of highway traffic such as traffic dispatch stations, license plate recognition stations, non-stop detection systems, bridge health monitoring systems and toll stations. Processing and fusion modeling, a multi-source data fusion perception and intelligent application platform for trunk highways has been built to realize the analysis of heavy-duty traffic characteristics in different spatio-temporal dimensions, grasp the travel rules and distribution characteristics of heavy-duty traffic on highways, provide decision-making basis for the planning, construction, maintenance, operation management, emergency response and information services of ordinary national and provincial highways in Yancheng City, and provide important support for the analysis of highway passenger and freight transportation and economic operation.
Typical application of multi-source data fusion perception and intelligent application platform for trunk highway 1: spatiotemporal analysis of road freight
The spatio-temporal analysis of road freight pays attention to the large flow sections of trucks, key road sections such as transportation channels and city boundaries, and the traffic volume and composition of trucks are important indicators for monitoring, which can identify the operation status of the road network and monitor the operation efficiency. In the major event guarantee, according to the characteristics of heavy-duty traffic and the distribution of road sections, key guarantees can be carried out in the road sections with large traffic volume, high proportion of trucks, and the main driving of heavy-duty vehicles. Yancheng Highway Development Center focuses on monitoring truck traffic volume, truck traffic composition, axle load and other indicators, and conducts operation status monitoring and traffic guidance.
Typical application of multi-source data fusion perception and intelligent application platform for trunk highway 2: automatic estimation of road freight volume
Freight volume is the core indicator to measure the results of transportation development and reflect the scale, structure and quality of transportation development, among which the automatic estimation of freight volume on ordinary national and provincial highways is the focus of the industry. The multi-source data fusion perception and intelligent application platform of trunk highway realizes the automatic estimation function of road freight volume, supports the automatic estimation of truck empty load quality and section freight volume, and effectively supports the estimation of road freight volume in Yancheng City. At the same time, the estimation results of road freight volume can support the spatio-temporal distribution of road freight transportation demand, the research on the grading structure of different grades of road transportation, etc., and provide effective support for the management of the freight industry and the analysis of macroeconomic operation.
Typical application 3 of the multi-source data fusion perception and intelligent application platform for trunk highways: highway axle load analysis
The axle load of highway is an important basis for the decision-making analysis of highway maintenance management and operation organization, which is used to measure the service quality, performance decay rate and spatiotemporal distribution characteristics of heavy-duty traffic in road sections. At the same time, due to the acceleration of the growth rate of the number of highway heavy vehicles, the vehicle load gradually increases, and the impact on the maintenance analysis and design of highway pavement is becoming increasingly prominent. Yancheng Highway Development Center makes full use of road axle load data and characteristic analysis to optimize the road maintenance plan and fund allocation plan in the work of calculating road maintenance funds and formulating maintenance plans in the area under its jurisdiction.
Typical application of multi-source data fusion perception and intelligent application platform for trunk highway 4: kilometer-level road operation monitoring
Combined with the characteristics of the G228 Yancheng section, the route is divided into points according to the basic principle of kilometer-level to realize kilometer-level road operation monitoring. When receiving traffic abnormal status data such as blocking and accidents, automatic pop-up alarms, voice alarms and other alarm information will be issued, and at the same time, the large-screen display of relevant event data will be realized, so that the on-duty personnel of the road network center can quickly and accurately detect the traffic incidents that occur on the road section under their jurisdiction, and verify and verify the abnormal traffic status in a timely manner.
Editor: Tang Zhixing