The properties of vehicle time headways are fundamental in many traffic engineering applications, such as capacity and level of service studies on highways, unsignalized intersections, and roundabouts. The operation of modern vehicle-actuated traffic signals is based on the measurement of time headways in the arriving traffic flow. In addition, the vehicle generation in traffic flow simulation is usually based on some theoretical vehicle time headway model. The statistical analysis of vehicle time headways has been inadequate in three important aspects: (1) There has been no standard procedure to collect headway data and to describe their statistical properties. (2) The goodness-of-fit tests have been either powerless or infeasible. (3) Test results from multi-sample data have not been combined properly. A four-stage identification process is suggested to describe the headway data and to compare it with theoretical distributions. The process includes the estimation of the probability density function, the hazard function, the coefficient of variation, and the squared skewness and the kurtosis. The four-stage identification process effectively describes those properties of the distribution that are most helpful in selecting a theoretical headway model.
Statistical Analysis of Vehicle Time Headways
1996
194 pages
Report
No indication
English
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