Young-Jun Moon

Real Time Estimation of Bus Arrival Time under Mobile Environment

Recently, several city governments of Korea developed Bus Information Sytem (BIS) as one of initiatives of ITS deployment efforts. The core function of BIS is to deliver the arrival time information of incoming transit bus at every bus station. In this research, we propose a computational model for estimating transit vehicle’s link travel time from data transmitted through wireless communication channel and outline major components of real BIS server program architecture. Our algorithm is based on a neural network algorithm tailored for each period of the day under mobile environment. In this model, link weights are updated every 7 days in order to provide feedback control based on bias between estimate and real measurement. Our system can be implemented using reasonable space resources and should provide good estimates of bus arrival time.

Smart Mobility Strategy in Korea on Sustainability, Safety and Efficiency Toward 2025

Surface transportation systems encounter strong demand for improved safety, reduced congestion and enhanced throughputs which lead to continuous innovation on vehicular technologies, while meeting the need for a sustainable energy future. Applying vehicular connectivity and automated vehicle technologies to deliver a smart mobility system in view of safety, throughputs and required conveniences, will interface a core activity of intelligent transportation system (ITS) strategic planning and implementation. So far, the power source transition to electrification, either battery- or fuel cell-based, has not been fully considered globally within the future ITS strategy. Consequently a strategy for the smart mobility has been developed to 2025 at the Korean national level, of which the core approaches are described in this paper. In addition to the review on various test-bed developments and implementations in Europe, the US, and Japan, the strategic planning on technology roadmap and test-bed application by identifying and prioritizing the future road transport demand are discussed, emphasizing vehicular connectivity and electrification.

Publicly Funded Research and Innovation in Korea and the Outlook for International Cooperation

This chapter presents the current situation as regards Transport research and innovation in the Republic of Korea (South Korea or simply Korea) with special emphasis on the policies, capacity and general prospects for more international cooperation in this area. It also gives a basic understanding of the overall Research Technological Development and Innovation (RTDI development of more systematic investment plans to address specific investment strategies for international collaboration in RTDI establishing a system to share information between government organizations and government-funded research institutes active in international RTDI and developing specific RTD&I strategies for individual partner countries considering their unique conditions, their level of development and geopolitical location.

Green-intelli travel service for public transit based on context awareness

This paper demonstrates a framework of context awareness based multimodal connectivity passenger information system for green-intelli travel services for public transit. A critical issue is developing context awareness services to provide a specific user with his/her context demand along the circumstances related to the complex information of transportation infrastructure. Recent technologies including location tracking of users and transportation modes, real time traffic management, and geographic information are integrated as the primary determinants of the likelihood of making the user oriented services on demand. Field tests of the framework on the test bed yield the proposed system applicable to the personalized service on demand for public transport users along the technologies and infrastructure in wireless communication networks, where a variety of service contents and business models has been considered to be a green intelli-travel services in the near future.

Validation of real-time traffic information based on personal communication service network

This research demonstrates an efficient traffic information provision system for mitigating traffic congestion in the street networks based on multi-type traffic detectors which include inductive loop, image recognition, beacon, and personal communication service (PCS). A methodology is demonstrated in this study, which combines and processes data including vehicle location and speed from the wireless communication network, i.e. PCS in order to validate real time traffic information through PCS and internet.