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Design of Smart LED Streetlight System for Smart City With Web-Based Management System
Daely, Philip Tobianto,Reda, Haftu Tasew,Satrya, Gandeva Bayu,Kim, Jin Woo,Shin, Soo Young IEEE 2017 IEEE SENSORS JOURNAL Vol.17 No.18
<P>Smart LED streetlight system is one of the enabling technologies for a smart city, giving low-cost, low power outdoor lighting also with benefits for vehicle users as well as pedestrians. Integration of sensors and ZigBee-based wireless sensor modules can furnish an optimal platform for an innovative LED streetlight application. Psychological studies suggest that a different level of color temperature can significantly affect human circadian rhythm. For this reason, correlated color temperature (CCT)-based illumination gives a significant lighting performance both in terms of energy efficiency and in overcoming traffic accidents in low visibility areas. Previous works usually assume only specific platform and did not consider CCT-based illumination toward smart LED streetlight system. In this paper, we consider the importance of CCT-based illumination and propose a novel integration of public weather data awareness, ZigBee-based wireless communication, and dynamic web-based management system for the state-of-art of smart LED streetlight system applicable to smart city. In particular, we design a central web server that can receive weather information and real-time sensor data from each LED streetlights and provides a dynamic and flexible web interface for authorized users. Furthermore, real-time implementation of the proposed system shows perfect transmission-reception parameters, such as throughput and signal strength among the different LED streetlights, which fulfills the wireless communication range and signal quality between each LED streetlights.</P>
Multi-Vehicle Routing for Pickup Service in Dynamic Scenario
Philip Tobianto Daely,Jae Min Lee,Dong-Seong Kim 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
Vehicle routing problem is a combinatorial problem that often used in real world settings, especially for pickup and delivery purposes. Pickup service is a business service provided to pick up items/goods from locations requested by clients. During the day of business, the service provider may receive multiple demands from clients without any prior knowledge on when they will come. This condition adds dynamicity into the problem. Time windows constraints are also included in the problem, increasing the complexity. In this paper, we proposed a multi-vehicle routing system with metaheuristic approach and location clustering. Preliminary simulation shows decent result by proposed system compared with other algorithm.