Ganjkhanloo, Alireza, Shariat Mohaymany, Afshin, Bahaabadi, Mojtaba, Sayyad, Amin. (1399). Analysis of Travel Time Distribution for Varying Length of Time Interval. نشریه مهندسی عمران امیرکبیر, 4(2), 241-248. doi: 10.22060/ajce.2019.15596.5545
Alireza Ganjkhanloo; Afshin Shariat Mohaymany; Mojtaba Rajabi Bahaabadi; Amin Sayyad. "Analysis of Travel Time Distribution for Varying Length of Time Interval". نشریه مهندسی عمران امیرکبیر, 4, 2, 1399, 241-248. doi: 10.22060/ajce.2019.15596.5545
Ganjkhanloo, Alireza, Shariat Mohaymany, Afshin, Bahaabadi, Mojtaba, Sayyad, Amin. (1399). 'Analysis of Travel Time Distribution for Varying Length of Time Interval', نشریه مهندسی عمران امیرکبیر, 4(2), pp. 241-248. doi: 10.22060/ajce.2019.15596.5545
Ganjkhanloo, Alireza, Shariat Mohaymany, Afshin, Bahaabadi, Mojtaba, Sayyad, Amin. Analysis of Travel Time Distribution for Varying Length of Time Interval. نشریه مهندسی عمران امیرکبیر, 1399; 4(2): 241-248. doi: 10.22060/ajce.2019.15596.5545

Analysis of Travel Time Distribution for Varying Length of Time Interval

AUT Journal of Civil Engineering
مقاله 10، دوره 4، شماره 2، تابستان 2020، صفحه 241-248    اصل مقاله (1.14 M)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22060/ajce.2019.15596.5545
نویسندگان
Alireza Ganjkhanloo1؛ Afshin Shariat Mohaymany* 2؛ Mojtaba Rajabi Bahaabadi3؛ Amin Sayyad4
1School of Civil Engineering, Iran University of Science and Technology
2Civil Engineering School Iran University of Science and Technology
3Iran University of Science and Technology
4School of Civil Engineering, Islamic Azad University Tehran Science and Research Branch
چکیده
This study intends to determine the most appropriate distribution for modeling travel time variability. It also aims to explore the effects of the time of day and the length of the analysis  time interval on the type of the best-fit probability distribution function. To this end, four analysis time intervals of different lengths ranging from five minutes to three hours are considered. Subsequently, for each analysis time interval, travel time data collected at different times of day are fitted to 12 common probability distribution functions. The Akaike Information Criterion is then used to evaluate the goodness of fitting and to rank the probability distribution functions. The results of this study indicate that the Gaussian mixture distributions are superior to single distributions to represent travel time distribution. In addition, single probability distribution functions can model the distribution of travel time observations when the length of the time interval is short. Among single probability distribution functions, the burr distribution provides the best fit to the travel time data. The results of this research also show that the type of the best-fit probability distribution function does not change significantly over the time of day.
کلیدواژه‌ها
The goodness of fitting؛ Analysis time interval؛ Travel time distribution؛ Travel time variability
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