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Enhanced Intelligent Transportation System Based on Human in Loop

The driver's behavior and feedback are introduced into the calculation loop by using the enhanced intelligent driving technology of human in loop, which makes the driver and enhanced intelligent driving system closely coupled, adapt to each other and work together to form a two-way information exchange and control mechanism. The intelligent vehicle terminal collects the driving behavior of drivers in various environments, calculates and uploads the data to the central computer cluster. After the cluster obtains the data, it uses the deep learning algorithm for calculation. Through the intelligent processing mode combining edge computing and central computing, it finally forms an intelligent computing model integrating the perception, decision-making and response of the best driver groups.

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Enhanced Intelligent Transportation System Based on Human in Loop

智能技术

Under different road conditions, altitude, vehicle type (engine) and different route background, the driver's driving behavior acts on the car, forming different information related to throttle, brake, speed, clutch, torque, gear and so on. The intelligent vehicle terminal collects the information from the bus and sensor of the vehicle and carries out intelligent calculation. At the same time, the information data is uploaded to the central computer cluster. After the cluster obtains the data, the deep learning algorithm is used for calculation. Through the combination of edge computing and central computing, an intelligent computing model integrating perception, decision-making and response of the best drivers is formed.

Terminal Device

DrivingRecorder

AndroidScreen

T-Box

After years of accumulation, HopeChart has formed 43 types of bad driving behaviors models related to energy saving and safety, such as driving in non green areas, mismatching of vehicle lines, insufficient braking torque, rapid acceleration, etc. the intelligent enhanced driving system can guide and remind drivers' driving behaviors in real time. Transportation companies and drivers can promote the iterative upgrading of the system and continuously improve the intelligent level of the system through the behavior feedback in the driving process and the opinion feedback after the driving process.

System Application

After years of accumulation, HopeChart has formed 43 types of bad driving behaviors models related to energy saving and safety, such as driving in non green areas, mismatching of vehicle lines, insufficient braking torque, rapid acceleration, etc. the intelligent enhanced driving system can guide and remind drivers' driving behaviors in real time. Transportation companies and drivers can promote the iterative upgrading of the system and continuously improve the intelligent level of the system through the behavior feedback in the driving process and the opinion feedback after the driving process.

  • The annual fuel saving rate of a single vehicle is more than 6%
  • The annual total oil saving value is nearly 2.2 million yuan
  • The service life of engine, clutch and other key parts is extended by more than 20%
  • The annual total saving of maintenance cost is 1.5 million yuan
  • 20% reduction in average accident rate
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