• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.699-701
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• 2008

최근 들어 경제 운전 및 친환경 운전 즉 에코 드라이빙에 대한 관심과 필요성이 사회적 이슈로 등장하였다. 에코 드라이빙을 위한 요인 중 가장 중요한 요인은 바로 운전자의 운전 성향이다. 본 논문에서는 에코 드라이빙을 위한 운전자의 운전성향분석을 위한 주요 요소들을 도출하고 이를 이용하여 에코 지수(Eco Index)를 산출하는 방법에 대하여 기술한다. 에코지수는 주행중인 차량으로부터 실시간으로 주행 정보를 수집한 후 이를 분석하여 계산되고 차량에 장착된 단말기를 통하여 운전자의 경제운전 및 친환경 운전 성향이 제공되며 서버로 전송되어 운전자의 장기적인 운전 성향 분석에도 사용된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.969-972
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• 2013

In this paper, we presented high-pass OBU device to support eco driving for commercial vehicles such as heavy trucks. The proposed OBU is convergence OBU (On Board Units) platform with high-pass toll functions and eco driving functions. In order to verity performance of proposed OBU device, we conducted test drives on road.

• LP가스
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• v.23 no.2
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• pp.21-22
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• 2011

환경부는 고유가 시대를 맞아 에너지 절감과 온실가스 감축을 촉진하기 위한 방안으로 "환경과 경제를 살리는 친환경운전 10가지 약속" 책자를 발간 배포했다. 이번 책자는 10가지 친환경운전 방법별 연료 및 온실가스 감축량과 절감액을 제시하고 있다. 에코드라이빙으로 환경과 경제를 살리는 운전습관을 실천해보자.

• Journal of the Korea Convergence Society
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• v.2 no.4
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• pp.15-19
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• 2011

The transportation and logistics industries, the constructions of a green transport methods for logistics systems are presented. They aims the greenhouse gas emissions 37% savings compared to BAU(Business As Usual) for a green growth of national strategy by 2020. An eco-driving training for truck drivers is a typical way. However there are few studies such as the integrated data collection automatically and the diagnostic Assessments and monitoring methods of logistics network status to show the effects of the eco-driving. To solve this problem, this paper provides previous research on logistics network diagnostics assessments and monitoring service and eco-driving. Then this paper shows developments of the logistics network diagnostic assessments and monitoring service business flow to promote eco-driving behaviors for truck drivers based on a smart phone application. Also, it shows an efficiency through an application results in field test.

• Korean Journal of Culture and Social Issue
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• v.17 no.4
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• pp.381-393
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• 2011

Eco driving is a strategy to reduce energy consumption and greenhouse gas emissions from motor vehicle. However, it has not received much attention until recently. Psychological studies on this issue have been limited and the majority of existing studies have primarily been based on engineering and educational approaches. This study examined the effects of a self-management technique on two driving behaviors: speeding and putting the gears in neutral while waiting at the signal. The self-management technique consisted of three behavior interventions: goal-setting, self-monitoring, and reward. Three drivers participated in this study. An AB multiple baseline design across participants was adopted. Results showed that the self-management technique was effective in increasing both driving behaviors. Implications of the present findings and suggestions for future research were discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6830-6837
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• 2014

Since the advent of global warming and energy depletion, there has been great interest in eco-driving (energy-efficient driving). In this paper, a system is proposed to monitor the idle running of an engine and steady driving for a vehicle equipped with an ISG (Idling Stop & Go system). The system consists of a G/W device to acquire the vehicle operation data, a smartphone app for monitoring eco-driving and a server system. The main contribution of this paper is that it defines the integrated functions, the architecture and operation mechanisms of a system for monitoring eco-driving including the prohibition of running idle. The system enables the users to check the idling stop times, driving speeds, fuel savings, and $CO_2$ emissions, resulting in the driving style for eco-driving. The server system, which is a part of this system, provides OpenAPI-style web services for the storage and retrieval of car operation data, which facilitates the development of applications.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.3
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• pp.120-131
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• 2017

Recent studies have suggested that providing in-vehicle feedback on various driving behaviors promote eco-friendly driving behaviors. However, there was relatively little interest in cognitive overload that can be caused by the provision of information. Thus, the goal of this study was to investigate the relative effects of two types of feedback(visual feedback vs. visual-auditory feedback) to increase eco-driving performance while minimizing driving workload. Also, in this study, the complexity of the driving task was distinguished (secondary vs. tertiary task) in order to reflect the actual driving situation. The study adopted a counterbalancing design in which the two feedback types were delivered in a different order under the two different task conditions. Results showed that providing the visual-auditory feedback was more effective than the visual only feedback in both promoting eco-friendly driving behaviors and minimizing driving workload under both task conditions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.957-960
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• 2013

Eco driving comprises the use of feedback information that informs the driver of vehicle performance. This paper evaluated the performance of feedback device that reported instantaneous fuel economy to drivers while driving. We took the measurement by getting data through OBD port from commercial vehicle covered 67 km on road. The changes observed in fuel efficiency were established 10.6 % improvement in fuel economy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.965-968
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• 2013

In this paper presented car sharing service using eco driving components. The car sharing service is composed of a web service and a smartphone application. The proposed service claims a newly time and fuel consumption based service charge. In order to get the fuel consumption, we used a MAF (Mass Air Flow) of OBD-II data. The application connects the smartphone to the car's OBD-II port through Bluetooth.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.3
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• pp.77-84
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• 2016

In 2012, total GHG emissions in transport sector reached 88 Million ton CO2eq. The emissions generated in the road accounted for 94% of the transport sector. Currently, there are many efforts to operate an education and campaign for eco-driving. However study for eco-friendly vehicle control considering road alignment is limited. Therefore, the purpose of this study is to address fuel-efficient driving strategy in horizontal curve section. To fulfill the goal, designed ideal freeway horizontal curve road follows regulations about road structure. And safety speed is calculated for considering vehicle's safety on horizontal curve road. Authors composed the acceleration and deceleration scenario for each horizontal curve section and generated the speed profiles that are limited by the safety speed. Speed profiles are converted into force that horizontal curve affect to fuel consumption. Then, we calculated fuel consumption using Comprehensive Modal Emission Model. Then, we developed eco-driving strategy by selecting most fuel-efficient scenario. To validate this strategy, we selected study site and compared fuel consumption for eco and manual driving. As the result, fuel consumption when driver used eco-driving was lessened by 20.73% than that of manual driving.