Automatic street light control is increasingly important for large metropolitan areas seeking to reduce electricity consumption while maintaining safe and reliable nighttime illumination. Tokyo provides a particularly relevant context because of its dense urban form, extensive transport network, high pedestrian activity, mixed road environments, and continuing transition toward digital and low-carbon urban infrastructure. This review examines automatic street light control for Tokyo with emphasis on LED conversion, photoelectric control, occupancy and traffic sensing, adaptive dimming, wireless communication, centralized monitoring, Internet of Things (IoT) integration, fault detection, and renewable-energy-assisted operation. Japan's Ministry of Land, Infrastructure, Transport and Tourism (MLIT) identifies LED road lighting as an energy-saving measure because LEDs consume less electricity and have longer service lives than conventional high-pressure sodium lamps, and the national Road Lighting Facility Installation Standard was revised in 2025 to standardize LED selection and promote road decarbonization. MLIT also reports experimental deployment of sensor-controlled smart lighting in which vehicle detection is used to adjust illumination levels. These developments provide a strong technical basis for adaptive street lighting in Tokyo, although local implementation must account for road hierarchy, pedestrian safety, intersections, weather, surrounding luminance, glare, emergency conditions, and municipal asset-management requirements. The review proposes a Tokyo-oriented control architecture combining LED luminaires, ambient-light sensors, traffic/pedestrian detection, edge controllers, wireless communication, centralized monitoring, and adaptive dimming algorithms. Performance should be evaluated using energy savings, maintained illuminance, uniformity, response time, fault availability, life-cycle cost, carbon emissions, and user safety. The paper concludes that automatic control should be treated not simply as an on/off automation problem but as a resilient, networked urban-infrastructure system in which lighting quality and public safety remain the primary constraints.
Keywords:automatic street lighting; Tokyo; smart lighting; LED; adaptive lighting; IoT; sensors; energy efficiency