Business Challenges
High requirements over IT support system availability

With the development of smart transportation, traffic flows fluctuate widely over time, which leads to grate fluctuations of application workloads of the traditional ITS system delivered to the governments, social organizations, and public users. This kind of system is now falling short of the availability and stability requirements.

Massive data processing capabilities

During peak hours, the transportation service needs to collect and analyze large amounts of real-time monitoring data. However, the traditional service cannot implement video inspection or high-definition license plate recognition, or process large amounts of non-structured data such as raw electronic invoices.

Information sharing capabilities

The transportation industry has multiple subsystems that process information and make analysis and decisions in an independent way. This characteristic plus the traditional information silo IT architecture disallows information and resources to be shared among different systems and hinder the development of smart transportation.

Business Challenges
  • High requirements over IT support system availability
    Massive data processing capabilities
    Information sharing capabilities
  • With the development of smart transportation, traffic flows fluctuate widely over time, which leads to grate fluctuations of application workloads of the traditional ITS system delivered to the governments, social organizations, and public users. This kind of system is now falling short of the availability and stability requirements.

    During peak hours, the transportation service needs to collect and analyze large amounts of real-time monitoring data. However, the traditional service cannot implement video inspection or high-definition license plate recognition, or process large amounts of non-structured data such as raw electronic invoices.

    The transportation industry has multiple subsystems that process information and make analysis and decisions in an independent way. This characteristic plus the traditional information silo IT architecture disallows information and resources to be shared among different systems and hinder the development of smart transportation.

Solution Architecture
解决方案架构图
Benefits
  • Data sharing

    Allow multi-aspect deep integration of emerging Internet technologies with the transportation industry and enable multiple application subsystems to share the same IT basic resources. This way, information and resources across the industry are integrated and can be shared among different systems.

  • Fast business delivery

    The architecture of the cloud platform is lightweight and simple. It requires lower initial investment cost and can be fast delivered to big data audit systems and highway application systems such as the ETC door frame system. In addition, the cloud platform is scalable and can accommodate increasing transportation application workloads.

  • Edge cloud architecture satisfying edge business needs

    Use the edge cloud architecture to collect massive device information. The “edge + cloud” architecture allows real-time information processing and on-time delivery of accurate information to different demand sides.

Benefits
  • Data sharing

    Fast business delivery

    Edge cloud architecture satisfying edge business needs

  • Allow multi-aspect deep integration of emerging Internet technologies with the transportation industry and enable multiple application subsystems to share the same IT basic resources. This way, information and resources across the industry are integrated and can be shared among different systems.

    The architecture of the cloud platform is lightweight and simple. It requires lower initial investment cost and can be fast delivered to big data audit systems and highway application systems such as the ETC door frame system. In addition, the cloud platform is scalable and can accommodate increasing transportation application workloads.

    Use the edge cloud architecture to collect massive device information. The “edge + cloud” architecture allows real-time information processing and on-time delivery of accurate information to different demand sides.

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