Industry "Base" Connected | GBase Big Data Applications in Transportation
“Innovation-driven development and deepening reforms should be among the fundamental principles for building the transportation system, with emphasis on deeply empowering applications through new technologies, enhancing the digital and intelligent development of transportation... By 2025, the comprehensive transportation system should essentially achieve integrated and convergent development, make substantial breakthroughs in smart and green development, significantly improve overall capacity, service quality, operational efficiency and overall benefits, and move toward a world-class level of transportation development.”
— "14th Five-Year Plan for the Development of Modern Comprehensive Transportation System"
Transportation is a foundational, pioneering, and strategic industry for the national economy and an integral part of the modern economic system. The "14th Five-Year Plan for Digital Transportation Development" points out that by 2025, a digital transportation development pattern featuring "one brain, five networks, and two systems" should be basically established. The primary task is to improve the information platform architecture for comprehensive transportation at both ministerial and provincial levels, advance the construction of comprehensive transportation big data systems, strengthen the integration, sharing, comprehensive development, and intelligent application of data resources, and build a "Data Brain" for comprehensive transportation. The "Data Brain" is a modern digital transportation infrastructure supported by data, computing power, and algorithms through the integrated application of new technologies such as big data, cloud computing, artificial intelligence, and blockchain. "Big data" is the key technology for achieving digitization of transportation infrastructure.
It is foreseeable that the 14th Five-Year Plan period will be a critical time for the intensive construction and scale expansion of China's transportation infrastructure, as well as a vital stage for optimizing the structure and establishing an integrated transportation system. The transportation industry takes data as a key element, characterized by massive volume, unstructured formats, heterogeneity, diversity, and real-time requirements. Through GBase big data products' capabilities in data collection, processing, integration, storage, analysis, and mining, industry data can be fully and efficiently utilized to realize its intrinsic value.
GBase big data products can play a significant role in the following application scenarios:
Massive Data Storage
GBase big data products GBase 8a MPP and GBase GCDW are mature analytical products in the big data era, characterized by massive data scale, rapid data flow, diverse data types, and low value density, and are designed for specialized data processing.
The products support massive data scale, feature flexible distribution strategies, multi-level compression storage, support different compression algorithms for different data types, and enable elastic scaling of server resources, thereby achieving efficient storage of massive transportation data.
Information Integration
The transportation industry features diverse data types, with unstructured data being predominant. Incorporating GBase big data products enables overall data management, building a comprehensive management platform that supports the ingestion and distribution of massive unstructured data. For instance, in the public travel service system established based on transportation data, GBase big data products serve as the data integration and management platform, using the Internet as the carrier to integrate highway information system resources and passenger transport management system data, and connect with traffic radio stations, TV stations, vehicle terminals, variable message signs, and traffic warning signs. Information is then output on public display terminals to provide travel information services for the public, building a more comprehensive traffic information service.
Data Collection
The data collection system of GBase big data products can collect and exchange data from various data sources and shared repositories, supporting heterogeneous data sources, real-time synchronization, and batch data transformation. For structured or semi-structured data, data collection and exchange can be achieved through multiple data transformation methods, while unstructured data can be processed via FTP, application interface development, and other technologies. By supporting multiple network transport protocols, parallel data loading from multiple sources, and efficient data synchronization, GBase big data products enable high-speed loading and integration of massive data, providing robust support for data collection.
For example, in the effective application of big data technology in intelligent transportation, AI-powered smart cameras can monitor and record vehicle speed, traffic volume, and road conditions in real time, extract key information from video images, and transmit it via high-speed information networks to the data management platform for analysis and processing. By conducting correlational searches on the transportation system with GBase big data products, massive detailed traffic data can be analyzed and fed back in real time to assess and predict potential traffic incidents and accident risks. It can also link with hardware products for early warning alerts, providing technical support for preventing traffic accidents and avoiding congestion, and helping traffic management authorities make immediate judgments and decisions.
Data Analysis
Through data mining and analysis, GBase big data products can monitor and analyze traffic flow, congestion levels, road conditions, etc., thereby identifying problems, optimizing management, and improving traffic efficiency and management standards. The products feature massively parallel processing, high concurrency, intelligent indexing, peer-to-peer computing capabilities, and support for In-Database data mining and analysis, delivering high-performance analytics for massive transportation data.
For example, by integrating data resources from traffic enforcement, taxis, public transit, freight, and emergency services into a transportation big data center using GBase big data products, transportation data can be monitored and analyzed in real time. Meanwhile, real-time and comprehensive data visualization systems are provided to transportation authorities, presenting key traffic data to offer scientific and robust support for decision-making. This assists in macro comprehensive analysis of multi-dimensional traffic indicators, improves decision-making efficiency and capability, and realizes intelligent urban traffic management and operation.
Summary
As big data technology is deeply applied in transportation informatization, it helps achieve integrated and unified efficient management of transportation information. GBase big data products have been widely deployed and stably running in core business systems of the transportation industry, including the 12306 ticket availability query system, ticketing and fare collection and monitoring systems for multiple urban rail transit networks, and various smart city projects. In the future, they will play an increasingly valuable role in building a convenient, efficient, economical, and green transportation system, as well as in helping urban transportation authorities plan and formulate scientific and precise decisions.