Light Energy – Efficient and Safe Traffic Environments

The Light Energy – project improves the energy efficiency of transport environments and outdoor lighting while maintaining a good level of road safety and taking into account the needs of road users. The project studies the optimal realisation of lighting and develops smart control of lighting by considering the visibility and safety of road users, the traffic situation, and environmental and economic factors. Light Energy is a multi-disciplinary research project belonging to the Aalto University Energy Efficiency Research Programme (AEF). AEF focuses on practices and changes in operating environments that promote efficient energy use.

Light Energy combines the resources of six units from four Schools at Aalto University in the areas of lighting and visibility, metrology, infrastructure modeling, transportation and highway engineering, economical/ societal analyses and user-centric design. The project aims to improve the energy efficiency of outdoor lighting without compromising traffic safety.

Objectives
• Increase energy-efficiency of outdoor lighting by providing criteria for smart lighting systems, taking into account visibility, traffic situation, safety and environmental and economic aspects.
• Provide a holistic approach for optimising factors contributing to energy-efficient, safe and user- optimised better quality visual environments and lighting and traffic services for road users.
• Provide international scientific basis for using mesopic photometry in dimensioning, design and measurement of outdoor lighting and in constructing traffic infrastructure.
• Develop novel concepts and prototypes for low-energy sensor-based outdoor lighting.
• Based on Living Lab, address user experience of outdoor lighting conditions.
• Increase the educational expertise at Aalto on efficient and sustainable traffic infrastructure.
Our main task in project is in work package: Visual environment and infrastructure modeling
• Conduct eye-tracking measurements to build patterns of visual fixations of drivers/pedestrians
to analyse and define visual adaptation fields, and create data for road and traffic design.
• Combine novel mobile mapping systems (MMS) and infrastructure information modeling (IIM)
with eye-fixation and luminance data collected from traffic environments.
• Develop a state of the art mesopic photometer, featuring full account of the eye adaptation
field.
• Develop accurate and automatic techniques for roadside information modeling, based on MMS
including 3D models of luminaires, poles, traffic signs, information boards and other objects.
The project partners come from Aalto University: Lighting Unit (coordinator), Research Institute of Measuring and of Modeling for the Built Environment, Centre for Knowledge and Innovation Research (CKIR), Department of Design, Transportation and Highway Engineering, Metrology Research Institute.