Journal of Korean Society of Transportation (대한교통학회지)

Korean Society of Transportation (대한교통학회)
권호 표지

Fuel consumption effects of transportation improvement options using mesoscopic traffic simulator

메조모형 시뮬레이터를 이용한 교통운영방식의 연료소모량 분석

  • 최기주 (아주대학교 환경·도시공학부) ;
  • 이건영 (한국건설산업연구원 원장) ;
  • 오세창 (아주대학교 환경·도시공학부)
  • Published : 2002.02.01
Download PDF
⟨ Previous Next ⟩

Abstract

To evaluate the effects of transportation system operation, usually measures of effectiveness(MOE) such as travel time, space mean speed, stop/delay ratio have been used. But, energy consumption as well as the existing MOE in transportation receives more attention as an alternative MOE in transportation operation. The purpose of this study is a development of procedure, which could measure the relative energy consumption for each alternative and compare the results. A mesoscopic simulator called INTEGRATION is used to evaluate the operation of high occupancy vehicle lane, signal optimization, lane expansion, and the application of ITS. Among those, the application of ITS shows the greatest effectiveness in energy reduction, and then lane expansion, signal optimization, and the operation of high occupancy vehicle lane in the order named. Because we don't consider the characteristics of vehicle class, Potential demand and the simulation time is just for an hour. it is recommended that a procedure for precise economic analysis and an improvement in methodology are needed in the future for the expanded application of this study.

일반적으로 교통운영 시스템에 대한 효과를 평가하기 위해서 구간통행 시간, 통행속도, 지정체율 등과 같은 효과척도(MOE: measure of effectiveness)가 사용된다. 그러나, 에너지에 대한 관심이 극히 높은 상황에서는 기존의 교통측면의 효과척도 이외에 에너지소모라는 효과척도가 교통운영시스템의 MOE로서 대안평가에서 점차로 중요한 영향을 발휘할 수 있다. 본 연구는 교통운영방식별 에너지효율성에 대한 평가를 위해 (기존에 주로 사용되던 효과척도로서의 구간평균속도, 구간평균통행시간, 지정체 뿐 아니라), 에너지 소모 또한 대안평가에 사용할 수 있을 것으로 판단하여, 각 대안별 에너지 소모를 상대적으로 측정하여 볼 수 이는 절차를 개발하고 상호 그 결과를 비교하고자 하였다. 이를 위해 메조모형 시뮬레이터인 Integration이 사용되었으며, HOV 차로 운영, 신호 최적화, 차로 확장, ITS 적용에 대한 대안의 평가를 수행하였다. 이중ITS의 적용이 에너지 절감에 가장 큰 효과가 있는 것으로 나타났으며, 차로확장, 신호최적화, HOV 차로 운영 순으로 에너지 절감 효과가 나타났다. 본 연구는 차종에 대한 특성의 고려, 잠재수요에 대한 고려를 하지 않았으며, 분석 기간이 단지 첨두 1시간에 그쳤기 때문에 향후 이러한 현실적 요소에 대한 고려 및 시스템의 확대적용에 있어 보다 정확한 경제성 분석절차 및 방법론적 개선이 요구된다고 하겠다.

Keywords

References

  1. Reseach Report ARR (No.124) Fuel Condumption and Data Needs for the Design and Evaluation of Urban Traffice Systems A.J.Richardson;R.Akcelik
  2. Automated Traffic Surveillance and Control(ATSAC) Evaluation Study City of Los Angeles Department of Transportation
  3. Transportaion Research v.23B no.5 The Australian Road Reserach Board Instantaneous Model of Fuel Consumption D.C.Fisk
  4. Traffic Engineering &Control v.27 no.6 An Energy-Related Model for Instantaneous Fuel Consumption D.C.Biggs;R.Akcelik
  5. Proceedings.Fourth Conference of the Australian Road Research Board v.4 Operating Costes of Cars in Urban Areas E.Pelensky;W.R.Blunden;R.D.Munro
  6. Evaluation of the Intelligent Cruise Control System final report Volpe National Transportation System Center&National Highway Traffic Safety Administration
  7. Transportation Research Recoed Model of Fuel Economy with Applications to Diving Cycles and Traffic Management Feng An;Marc Ross
  8. SAE-Australia v.40 no.1 A Simplified Method for Quantifying Frel Consumption of Vehicles in Urban Traffic H.C.Watson;E.E.Mikins;G.A.Marshal
  9. Draft v.1 no.1 Evaluating the Efficiency,Energy,Environmental and Safety Impacts of Intelligent Transportation System along the Southern/Baseline Corridor H.Rakha;A.Medina;J.Diekmann
  10. Transportation Research Record v.1644 Construction and Calibration of a Large-Scale Microsimulation Model of th Salt Lake Area H.Rakha;M.Van Aerde;L.Bloomberg;X.Huang https://doi.org/10.3141/1644-10
  11. The 77th Annunal Meeting of the Transportation Research Board Benefit Sensitivities of Adaptive Traffic Control Strategies at Isolated Traffic Signals J.A.Stewart;K.Lepik;M.Van Aerde
  12. The 77th Annunal Meeting of the Transportation Research Board An Assessment of Adaptive Co-ordination of Traffic Signal Offsets within INTEGRATION J.A.Stewart;M.Van Aerde
  13. Transportation Research Record v.1112 Urban Traffic Network Flow Models James C.Williams;Hani S.Mahmassani;Robert Herman
  14. Transportation Secience v.17 no.2 OptimalControl of Automobiles for Fuel Economy J.N.Hooker;A.B.Rose;G.F.Roberts https://doi.org/10.1287/trsc.17.2.146
  15. The 78th Annunal Meeting of the Transportation Research Board Microscopic Fuel Consumption and Energy Emission Models K.Ahn;A.Trani;M.Van Aerde
  16. Traffic Technology International (Annual) Making Wave on Traffic Control J.Beteille;G.Briet
  17. Traffic Engineering &Control v.27 no.9 Fuel Consumption Time Saving and Freeway Speed Limits J.R.Kenworthy;H.Rainford;P.W.G.Newman;T.J.Lyons
  18. Transportaion Research A v.18A no.3 Fuel Consumption and Emission Modeling by Power Demand and a Comparison with Other Models K.Post;J.H.Kent;J.Tomlin; N.Carruthers
  19. Phase I.Tasks A-H A Compendium of Traffic Model Validation Documentation and Recommendations Larry E.Owen.Gary Brock;Scott Mastbrook;Rick Pavlik;Lei.Rao;Charlie Stallard;Srinivasa Sunkari;Yunlong Zhang
  20. Transportation Secience v.10 no.2 Multi-variate Analysis of Traffic Factors Related to Fuel Consumption in Urban Driving L.Evans;R.Herman;T.Lam https://doi.org/10.1287/trsc.10.2.205
  21. The 79th Annunal Meeting of the Transportation Research Board A Comparison of the VISSIM and CORSIM Traffic Simmulation Models On A Congeted Network Loren Bloomberg;Jim Dale
  22. Transportation Secience v.15 no.3 Trip Time Versus Stop Time and Fuel Consumption Charateristics in Cities M.F.Chang;R.Herman https://doi.org/10.1287/trsc.15.3.183
  23. Transportation Research Record v.599 Gasoline Consumption in Urban Traffic M.F.Chang;L.Evans;R.Herman;P.Wasielewski
  24. Transportation Secience v.12 no.2 Automobile Fuel Eocnomy on Fixed Urban Driving Schedules L.Evans;R.Herman https://doi.org/10.1287/trsc.12.2.137
  25. INTEGRATION Release 2.10 for WINDOWS: User's Guide-Volume I,II ;Fundamental Model Features M.Van Aerde
  26. Road Research Laboratory The Effect of Road and Traffic Conditions on Fuel Consumption P.F.Everall
  27. Research Report ARR no.124 Some Results on Fuel Consumption Models.Appeared in Progress in Fuel Consumption Modelling for Urban Traffic Management R.Akcelik;C.Bayley
  28. Transportaion Research B v.23B no.5 Efficiency and Drag in the Power-Based Model of Fuel Consumption R.Akcelik
  29. Traffic Engineering &Control v.22 Fuel Efficiency and Other Objective in Traffic System Management R.Akcelik
  30. Transport and Road Research Lab Report no.LR888 User Guide to TRASYT Version 8 R.A.Vincent;A.I.Mitchell;D.I.Robertson
  31. Transportation Secience v.19 no.1 The Influence of Stope on Vehicle Fuel Consumption in Urban Traffic R.Herman;S.Ardekani https://doi.org/10.1287/trsc.19.1.1
  32. Siemens Automotive SCOOT in Toronto R.Herman;S.Ardekani
  33. Journey of Transportation Engineering v.111 no.5 Estimating Fuel Consumption from Engine Size T.N.Lam
  34. Master Thesis Quantifying the Impact of Traffic-Related and Driver-Related Factors on Vehicle Fuel Consumption and Emissions Yonglian Ding