Experimental Analysis of Two-Wheeler Headlight Illuminance Data from the Perspective of Traffic Safety

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Proceedings of Data Analytics and Management (ICDAM 2023)

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Abstract

The goal of this study is to determine how headlight illumination affects motorized two-wheeler vehicle visibility and safety on the road. There were 15 subjects considered in this study, each riding a different kind of two-wheeler having a range of lighting technology and ages. The subjects considered in the study were asked to rate the visibility from their vehicles, and hence, the study focused on headlight illumination for both vertical and horizontal light distributions at varied forward distances. The study revealed that age of the two-wheeler had huge bearing on the light output from the headlight which can be attributed to range of factors like exterior polycarbonate cover getting hazier due to aging and handling, decreased reflectivity, and misalignment of the light reflector/optics with respect to the light source. Further, the technology of the headlight light source had a big impact on how much light is produced; LED technology produces roughly three times as much light than halogen-based technology. In terms of lux values, angular spread, focusing distances, and nonuniform angular spread, there is a significant variation in light output measured across all 15 vehicles, pointing to either workmanship issues with the headlight assembly, the light design itself, or the effect of headlight aging or inconsistent headlight fitment into the two-wheeler. These results shed light on such variable headlight performance and the need for effective headlight technology, which can assist drivers, automakers, and policymakers in enhancing road visibility and safety for motorized two-wheeler vehicles.

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Correspondence to Vinod Karar .

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Gola, A., Dharmapuri, C.M., Chakraborty, N., Velmurugan, S., Karar, V. (2023). Experimental Analysis of Two-Wheeler Headlight Illuminance Data from the Perspective of Traffic Safety. In: Swaroop, A., Polkowski, Z., Correia, S.D., Virdee, B. (eds) Proceedings of Data Analytics and Management. ICDAM 2023. Lecture Notes in Networks and Systems, vol 788. Springer, Singapore. https://doi.org/10.1007/978-981-99-6553-3_8

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