2017/08/30 by Behnoush Garshasebi, Garshasebi, Behnoush, Rahim F. Benekohal +1
Engineering · Social Sciences · #Applications (stat.AP) #FOS: Computer and information sciences #Traffic Prediction and Management Techniques #Traffic control and management #Transportation Planning and Optimization
paper · pdf · doi:10.48550/arxiv.1708.09439
openalex publication_date 2017/08/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Purpose of this study is evaluation of the relationship between different\narrival types and degree of saturation (X) with overestimations of HCM 2010\nprocedure for estimating the back of queue within a study area. Further\nanalysis is performed to establish the relationship between queue length and\ndelay and also between each of them individually and X in cases with\noverestimation. The analyses are based on the 50th percentile queue lengths for\ndata collected at four signalized intersections along a corridor in 4 time\nperiods (off peak period and AM, Noon and PM peak periods). Based on the\nstatistical test results, arrival type did not play a role in overestimations.\nHowever, there is a significant relationship between the overestimations on\nminor and major street and different ranges of X. On minor streets, about 59%\nof the overestimations are at X values less than half; while near 23% of the\noverestimations are at oversaturation condition with X values greater than 1.\nThe relationship between amount of overestimations and degree of saturation\nshould be established based on the numerical amount of overestimations versus X\nvalues rather than the relative amounts; since the statistical comparison\nbetween the relative amount of overestimations and X values, resulted in a\nwrong idea of the real world condition. There was a significant correlation\nbetween field queue and delay data of the cases with overestimated queue length\nin all cases on major and minor streets. Also, field queue is correlated to X,\nin all cases on minor and major streets.\n