1. Challenges in the transportation industry and the necessity of digital construction
1. Difficult to control.
The transportation industry involves a wide geographical scope, high monitoring costs, and difficult to control in a timely manner.
2. Large amount of data.
The transportation industry has a large amount of geographic information data, which needs visualization tools to visualize and then discover its patterns and optimize transportation business.
3. It is difficult to carry freight passengers.
The volume of freight or passenger traffic in the transportation industry is constantly changing, with peaks and valleys, and needs to be used for resources.
4. Low access to open data.
Open data access is low, and external data does not contrast well with internal data.
5. There are many emergencies.
The transportation industry is mostly about the handling of emergencies, and the analysis of data is also post-event analysis, which is difficult to achieve early warning.
6. The report logic is complex.
There are not only all kinds of financial and operational reports that need to be counted, but also relevant national standard reports that need to be counted, and the filling and statistical dimensions and calculation methods of relevant data are complex.
2. Data application goals in the transportation industry
Assist in governance. Through the collection and calculation of data, it helps enterprises and institutions to quickly query data and set up an early warning mechanism to assist in control.
*Analyse. Monitor the corresponding index, **traffic conditions, cargo volume, vehicle flow, passenger flow and other data.
Operational control. Real-time monitoring of operational data, timely reporting and early warning of safety accidents.
Industry analysis. Calculate and monitor the industry's open data indicators and company indicators, and compare the company's indicators with the industry average.
Report generation. Automatically generate reports to count various indicators.
3. Construction theme
Taking the digital construction of expressways as an example, the construction of business themes and the construction of transportation index system are carried out.
Fourth, the significance of construction
Information Integration Advantages and Portfolio Efficiency:Big data helps to establish a comprehensive and three-dimensional traffic information system, through the integration of "data warehouses" in different scopes, different regions and different fields, to build a public transport information integration and utilization model, and play an overall leading function. For example, by combining data from meteorological, transportation, and insurance sectors, disaster prevention and mitigation in the transportation sector can be efficiently studiedIC card data combined with sampling survey can measure the distribution of urban traffic flow more quickly and accurately.
Intelligent allocation of transportation resources:Through the analysis and processing of big data, it can assist traffic management to formulate better overall planning and coordination solutions, reduce the manpower and material resources of various transportation departments, and improve the rational utilization of transportation resources. For example, according to the results of big data, the efficient configuration and passenger flow organization scheme of multi-mode ground bus network, the green wave traffic control and the adaptive control of traffic signals in the multi-level ground bus backbone network are determined.
Improve the level of traffic:The speed and performance of big data can help improve the level of transportation.
Cross-domain management:The virtuality of big data is conducive to its cross-regional management of information, and as long as multiple parties follow the relevant information sharing principles, the cross-domain management problem can be solved under the existing administrative area.