Empirical modelling of the relationship between bus and car speeds on signalised urban networks

Abstract

Vehicle speed is an important attribute for analysing the utility of a transport mode. The speed relationship between multiple modes of transport is of interest to traffic planners and operators. This paper quantifies the relationship between bus speed and average car speed by integrating Bluetooth data and transit signal priority data from the urban network in Brisbane, Australia. The method proposed in this paper is the first of its kind to relate bus speed and average car speed by integrating multi-source traffic data in a corridor-based method. Three transferable regression models relating not-inservice bus, in-service bus during peak periods and in-service bus during off-peak periods with average car speed are proposed. The models are cross-validated and the interrelationships are significant.

Correlation Tests of Ultrasonic Wave and Mechanical Parameters of Spot-Welded Joints

“…It is easy to interpret (as the value of the predictor increases by one, the value of the dependent variable increases on average by the value of ) and has been successfully used in engineering, computer science, biology, economics, and psychology [ 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 ]. It is critical that the necessary assumptions of multiple regression are met, so these were checked first, and then, the multiple regression analysis was carried out [ 48 , 49 ].…”