• Title/Summary/Keyword: 보정 등록대수

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A Methodology for Estimation of Vehicle emissions in a Metropolitan Area (지자체 도로이동오염원 배출량 산정 방안)

  • Hahn, Jin Seok
    • Journal of Environmental Policy
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    • v.14 no.3
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    • pp.3-19
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    • 2015
  • In this paper, we reviewed the method of replacing the number of registered vehicles with the number of trips to more realistically calculate vehicle emissions. Using the Korea Transport Data Base (KTDB) in replacing the number of registered vehicles with adjusted number of registered vehicle by specific vehicle type in the metropolitan area, the results by region showed that Seoul had the widest rate of error and that, among vehicles, trucks had the widest rate of error. Also, the absolute value of deviation of registered vehicles and adjusted number of registered vehicle influenced by the calculation of the quantity of vehicle emissions showed that out of the metropolitan regional government all trucks showed the widest deviation. The results of calculating the quantity of vehicle emissions showed an average of 9% difference between the emissions based on the number of registered vehicles and the emissions based on adjusted number of registered vehicle.

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Tour-based Personalized Trip Analysis and Calibration Method for Activity-based Traffic Demand Modelling (활동기반 교통수요 모델링을 위한 투어기반 통행분석 및 보정방안)

  • Yegi Yoo;Heechan Kang;Seungmo Yoo;Taeho Oh
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.6
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    • pp.32-48
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    • 2023
  • Autonomous driving technology is shaping the future of personalized travel, encouraging personalized travel, and traffic impact could be influenced by individualized travel behavior during the transition of driving entity from human to machine. In order to evaluate traffic impact, it is necessary to estimate the total number of trips based on an understanding of individual travel characteristics. The Activity-based model(ABM), which allows for the reflection of individual travel characteristics, deals with all travel sequences of an individual. Understanding the relationship between travel and travel must be important for assessing traffic impact using ABM. However, the ABM has a limitation in the data hunger model. It is difficult to adjust in the actual demand forecasting. Therefore, we utilized a Tour-based model that can explain the relationship between travels based on household travel survey data instead. After that, vehicle registration and population data were used for correction. The result showed that, compared to the KTDB one, the traffic generation exhibited a 13% increase in total trips and approximately 9% reduction in working trips, valid within an acceptable margin of error. As a result, it can be used as a generation correction method based on Tour, which can reflect individual travel characteristics, prior to building an activity-based model to predict demand due to the introduction of autonomous vehicles in terms of road operation, which is the ultimate goal of this study.

Compensation and Amendment of Highway Travel Demand Forecasting (고속도로 교통수요 보정모형에 관한 고찰)

  • Lee, Eui-Jun;Kim, Young-Sun;Yi, Yong-Ju;OH, Young-Tae;Choi, Keechoo;Yu, Jeong Whon
    • Journal of Korean Society of Transportation
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    • v.31 no.3
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    • pp.86-95
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    • 2013
  • In this study, a model of compensation and amendment of forecasted travel demand was developed to calculate the range of values depends on the changes in the risk factors, selecting factors that might affect traffic demand changes among risk factors. Selected factors are as follows: influenced area population, the number of registrated vehicle per person, ratio of service industry workers, and city intervals. Then this model is applied to six routes of expressway and the calculated value were compensated with error rate being reflected on each quartile value with respect to influenced area population (200,000 people standards). Result from appling developed model to Cheongwon-Sangju expressway suggests that the model could compensate the error rate by more than 50%, which in turn validate the effectiveness of the model developed. Some limitations and future research agenda have also been identified.