Abstract

With the rapid development of urbanization and the popularization of the vehicle, the frequent occurrence of traffic jams results in idling fuel waste, environmental pollution, and other issues. In order to alleviate these problems, engine start-stop technology has been widely used in different types of vehicles in recent years. However, current start-stop trigger technology has many deficiencies, such as mistaken triggering and frequent engine start-stop, which greatly reduces user driving experience, causing most of them to deactivate this system. The intelligent engine start-stop trigger (IEST) system based on the actual road running status was established by building the image recognition model and the digital traffic analysis model in order to solve this problem. A system test shows that IEST can avoid frequently engine starting and stopping. The results show that IEST could effectively improve the driving experience and reduce engine fuel consumption, and it promotes conventional engine start-stop technology.

Highlights

  • With the rapid growth of automobile ownership, traffic congestion occurs frequently, which leads to the decrease of the capacity of road and intersections, and increases the idle working time of automobiles, which leads to the increase of fuel consumption, and aggravates the degree of environmental pollution

  • The intelligent engine start-stop trigger system based on the actual road running status judgment of shutdown and so on, it is possible to get twice the result with half effort to focus on the development of control system and control method suitable for popular application

  • The intelligent engine start-stop trigger system based on the actual road running status recognition module does not detect a red light in the image, the digital traffic analysis module will start to judge whether the road is in congestion or not

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Summary

Introduction

With the rapid growth of automobile ownership, traffic congestion occurs frequently, which leads to the decrease of the capacity of road and intersections, and increases the idle working time of automobiles, which leads to the increase of fuel consumption, and aggravates the degree of environmental pollution. Traditional engine start-stop technology’s working principle is that the engine stops once the brake pedal has been depressed for 2 seconds, and runs again when the brake pedal is depressed again, which helps save energy. This trigger technology has two important disadvantages: 1. This paper proposes a new trigger mode for engine startstop systems by judging the situation of the vehicle in congested traffic or stopping at a red light. These two modules could control an engine’s stopping time, thereby avoiding unnecessary engine start-stop. System testing proved that IEST can effectively improve the driving experience, reduce engine fuel consumption, and help promote traditional engine start-stop technology

Literature review
Methodology
The recognition of traffic lights
Extracting the characteristic region
The noise-suppressed processing based on the area threshold
The characteristic region segmentation
The pattern recognition based on characteristic vector and neural network
The theoretical analysis of road congestion judgment
The basic principles of traffic judgment
System test
Findings
Conclusion
Full Text
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