Speed distribution for interrupted flow facility under mixed traffic

Investigation the Stochastic behaviour of the Traffic Flow: A Case Study of a Section of a Road

“…Maqhrour [6,9,32] used the traffic flow for budapest (Hungary) for the best fit over the collected data and found the normal, exponential, lognormal, gamma and chi-Square are fit using Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). DS Berry (1951) used the data and speed for the best relation between the data and speed distribution over the section of road, [11,13,19] studied the superstatistical analysis of traffic flow and found the beta distribution is the best fit with a small fluctuation with chi-square test for the traffic flow data, [18,26] used the traffic data with condition the data is normally distribution and used to check the data is unimodal or a bimodal and found the traffic data follow the unimodal only, [22,30] used to estimate the travel time distribution using all the distribution to estimate the time distribution under the congestion and free flow congestion, [1,24] used the data for superstatistical analysis with best fit data of speed vehicles flow, [23] used the real traffic data and estimate the statistical distributions for forecasting under the uncertainty condition of traffic condition, [5] used the studied the statistical analysis of traffic flow using lognormal distribution of traffic flow, [12] use the time-gap traffic data under the mix-traffic condition and used all the distribution by combining two distribution and also used the goodness-of-fit distribution with hypothesis test, [27] use the time headway and speed headway under the mix condition of traffic flow and test for the statistical analysis using distribution fit, [15,16] studied for the determination of best fit probability distribution of rainfall data in Bangladesh, and test the data under different hypothesis test and distribution technique, [26] use the regression analysis for the fit the probability distribution over the traffic data by considering the traffic data into different types at the location of Hong Kong, [30] used the distribution fit by probability distribution function over the Origin-Destination of traffic network for the congested traffic flow over the considered network and used the Generalized method of Moment with exact and approximate estimator [20] used the goodness-of-fit probability distribution for the traffic data for analysis the traffic network tail and used different hypothesis tests for goodness-of-fit data and Monte Carlo simulation, …”

Saturation flow rate analysis for special width approach lanes: An empirical study in Karlsruhe, Germany

“…The common influencing factors, such as area type, lane width, heavy vehicles, grade, turnings, pedestrians and bicycles, have been considered in the manuals, such as the highway capacity manual (HCM) [15]. Other concerned adjustment factors for saturation flow rate include the weak-lane-disciplined mixed traffic stream [16][17][18][19], short lanes [20], left-turn waiting area [21], adverse weather conditions [22], lighting conditions [23], access traffic [24], guide line markings [25], signal countdown devices [26], and autonomous driving environment [27]. Recently, with the wider use of the unconventional intersection design, the saturation flow rate of the lanes under the unconventional design were also explored based on empirical data.…”