Air pollution from vehicle-tailpipe emissions and diagnostic approaches through cyber-physical platform- a review

Vehicle tailpipe emission contributes to a large amount of air pollution and results in extreme health risk issues. This issue is increasing gradually due to lack of public awareness, and the downsides of traditional emission testing approaches. The conventional approaches are nonviable and time consuming methods. These approaches have also lack of trained and skilled personnel and lack of monitoring equipment. In these circumstances, the cyber-physical system (CPS) can be utilized to reduce the tailpipe emission problem. CPS can emphasize more on how to discover new knowledge across multiple sensing domain and to make proper use of intelligence. CPS based methods are employed for the regular maintenance of vehicles, easy feedback generation to drivers and transport managers, monitoring real-time pollution footprint of the vehicle, identification of the polluters, predictive maintenance of the engine, performance enhancement of the vehicle, diminution of the pollutant emission. This paper presents an in-depth review of conventional methods for vehicle-tailpipe emission management and the scope of cyber-physical framework for its better treatment.

Automated summary

Vehicle tailpipe emission is a major contributor to air pollution and poses serious health risks. Lack of public awareness and limitations of conventional testing approaches have led to a gradual increase in this issue. Cyber-physical system (CPS) can be used to address the problem by discovering new knowledge across multiple sensing domains and utilizing intelligence effectively.