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Trip Time Versus Stop Time and Fuel Consumption Characteristics in Cities

Author

Listed:
  • Man-Feng Chang

    (General Motors Research Laboratories, Warren, Michigan)

  • Robert Herman

    (General Motors Research Laboratories, Warren, Michigan)

Abstract

An attempt has been made to evaluate the effect of traffic conditions on fuel consumption and trip time for two fixed routes in Milwaukee, Wisconsin. Data on trip time, stop time and fuel consumption obtained in Milwaukee are compared for rush hour traffic and for middle of the night very light traffic. It is demonstrated that the potential fuel savings for individual trips obtainable through improved traffic are different from route to route although they are substantial, lying in the range (approx)10--30%. A comparison is made of the traffic on different routes using speed-acceleration phase plots. In addition, stop time versus trip time characteristics are compared for four metropolitan areas using a linear representation between the two variables as well as a theoretical two-fluid model which relates stop time and trip time. The parameters of the two-fluid model and in addition the observed ranges of stop time and trip time are shown to be useful for comparing the quality of traffic in different metropolitan areas: the lower the values of the parameters and smaller the ranges the better the traffic. The implication of these results on fuel consumption have also been examined.

Suggested Citation

  • Man-Feng Chang & Robert Herman, 1981. "Trip Time Versus Stop Time and Fuel Consumption Characteristics in Cities," Transportation Science, INFORMS, vol. 15(3), pages 183-209, August.
    • Handle: RePEc:inm:ortrsc:v:15:y:1981:i:3:p:183-209
    DOI: 10.1287/trsc.15.3.183
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    Cited by:

    1. Xuan Qiu & Jasmine Siu Lee Lam, 2018. "The Value of Sharing Inland Transportation Services in a Dry Port System," Transportation Science, INFORMS, vol. 52(4), pages 835-849, August.
    2. Guo, Qianwen & Sun, Yanshuo & Li, Zhi-Chun & Li, Zhongfei, 2017. "An integrated model for road capacity choice and cordon toll pricing," Research in Transportation Economics, Elsevier, vol. 62(C), pages 68-79.

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