Transportation Planning and Trip Distribution by Trip Length Frequency Distribution with Fuel Data

  • سال انتشار: 1396
  • محل انتشار: هفدهمین کنفرانس بین المللی مهندسی حمل و نقل و ترافیک
  • کد COI اختصاصی: TTC17_301
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 446
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نویسندگان

Ali Hakimelahi

Ph. D. in Transportation and Traffic Engineering

K.V Krishna Rao

Professor, IIT Bombay, Mumbai, India

S.L. Dhingra

Professor, IIT Bombay, Mumbai, India

Farideddin Peiravian

Assistant Professor, Shiraz University

چکیده

Generally, trip generation models are the regression function relating the quantity of trips generated in a zone and attracted to a zone with the socioeconomic factors, thereat; for produced trips of each zone, refueling and energy consumption accounted to individual fuel economy (standard urban driving cycle) is used in calculation of vehicle distance travel. Trip production is calculated through vehicle distance travel, observed average trip length and car occupancy rate. Attraction model computed based on water and electricity consumer s magnitude for commercial, public and industrial, have constructed a weighting factor which is multiplied to total number of production to develop the number of attraction for each zone. Therefore, attraction and production are compared and balanced technically and evaluated continually. Trip Length Frequency Distribution (TLFD), as the most sensible outcomes of fuel data, is implemented in the calibration of the gravity model for trip distribution process. It helps to have impedance function as the representative for the spatial separation of each zone. This process covered all vehicular trips in urban areas, which is rare in TDFMs. Bureau of Public Roads (BPR) algorithm determined friction factors (average value of 2.1) for gravity model with an iterative process based on vehicle distance traveled. Surprisingly, theresulted factors based on refuel data do not follow with old functional forms trends and patterns, which used to drive the travel-distance-factor magnitude from travel distance in recent study or time-factor in major of studies.

کلیدواژه ها

Fuel smart card system, Trip Length Frequency Distribution, Refuel Data

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