• Title/Summary/Keyword: 저상버스

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Study of the WTP Estimation for Introduction of Medium-sized Low Floor Electric Bus (중형 저상전기버스 도입에 따른 지불용의액 추정 연구)

  • Kim, Kyung Hyun;Park, Sangmin;Park, Sungho;Yun, Ilsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.1
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    • pp.17-30
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    • 2018
  • Currently, the global climate change response paradigm has been changed to a universal response system in which all nations, not the developed countries, participate. Korea has also set a target of 25.9 million tons of transportation greenhouse gas reduction targets by 2030. Korean society is expected to enter the super aging society in 2026. In this study, to reduce the greenhouse gas emissions in public transport and to improve the convenience of transportation vulnerable, we estimate the willingness to pay(WTP) and social benefits assuming that the existing feeder buses are replaced with medium-sized low floor electric buses. To this end, survey was conducted on bus users in the metropolitan area and WTP was estimated by using contingent valuation method(CVM), which is one of the non-market value evaluation methods. As a result of estimation of WTP, the average WTP is 51.4 (won / time person), estimated the economic benefits were 50 million won on weekdays and 40 million won on weekends in Gyeonggi Province in 2014.

An analysis on the railway vehicle system for the introduction of new transit systems (신교통시스템 도입을 위한 차량시스템에 관한 고찰)

  • Chung, Su-Young;An, Sung-Jin;Kim, Pyo-Jong
    • Proceedings of the KSR Conference
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    • 2009.05a
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    • pp.284-290
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    • 2009
  • As the increased importance is placed on the new transit systems owing to the environmental pollution caused by the road traffic congestion, the policy for the introduction of the new transit systems as an alternative solution to ease the heavy burden of the construction expenses is being actively established. Since the explicit recognition of such transit systems and the review on the method of its adoption have been a pressing matter in the light of reducing the pending traffic congestion, the development of the rolling stock systems in modes of new transportation has been made in various ways taking into consideration the regional circumstances to alleviate traffic congestion, and offer a more efficient service with the application of their intrinsic characteristics. Such systems also have been developed as a mix of punctuality for railway systems operating on the runway and flexibility for buses. This paper, therefore, deals in more detail with 3 modes of systems such as low-floor articulated buses, GRT(Guided Rapid Transit) and tram cars, and studies the overseas cases of the operation of those systems involving both negative and positive aspects.

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A Study on a Test Platform for AWS (All-Wheel-Steering) ECU (Electronic Control Unit) of the Bi-modal Tram (저상굴절버스 조향시스템 전자제어장치의 테스트플랫폼 구축에 관한 연구)

  • Lee, Soo-Ho;Moon, Kyeong-Ho;Park, Tae-Won;Kim, Ki-Jung;Choi, Sung-Hun;Kim, Young-Mo
    • Proceedings of the KSR Conference
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    • 2008.06a
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    • pp.1051-1059
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    • 2008
  • In the development process of an ECU (Electrical Control Unit), numerous tests are necessary to evaluate the performance and control algorithm. The vehicle based test is expensive and requires long time. Also, it is difficult to guarantee the safety of the test driver. To overcome the various problems faced in the development process, the ECU test has been done using HIL (Hardware In the Loop). The HIL environment has the actual hardware including an ECU and a virtual vehicle model. In this paper, the test platform environment is devloped for the AWS ECU black box test. The test platform is built on HIL (Hardware In the Loop) architecture. Using the developed test platform, the control algorithm of the AWS ECU can be evaluated under the virtual driving condition of the bi-modal tram. Driving conditions, such as a front steering angle and vehicle velocity, are defined through the PC (Personal Computer) input. Input signals are transformed to electrical signals in the PC. These signals become the input conditions of the AWS ECU. The AWS ECU is stimulated by arbitory input conditons, and responses of the system are observed.

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