Abstract
Performance analysis of transport systems usually requires transfer of passengers between trains, cars, or buses, among others. This paper proposes a methodology for modeling and analysis of bus transportation using link streams. Link streams are particular cases of stream graphs whose cliques provide information about available time intervals for connecting buses. These cliques are obtained by algorithms of the literature with good scalability. They are used to quantify performance indicators as transfer time, bunching, congestion, and number of transferred passengers. The results are obtained for real-world data of a bus terminal in the city of Curitiba, Brazil. They reveal important issues regarding transfer delays and available capacity for transport. The proposed performance analysis can be used to support urban planners on planning and improving transport operation.
Highlights
The operation of urban transport systems has been considered in the literature using different approaches [1,2,3,4,5,6]
It is done based on the current number of passengers that arrive at the terminal from local lines, the required transfer time computed by (1), the available transfer time given by Table 12, and the express bus capacity
We proposed a methodology for modeling and analysis of bus transportation using link streams
Summary
The operation of urban transport systems has been considered in the literature using different approaches [1,2,3,4,5,6]. In [8] a global positioning system (GPS) is integrated with wireless communication to track vehicles in real time All these approaches utilize information and communication technology (ICT) to predict, simulate, and control different situations in transport system. The study of links created and destroyed during these days has revealed new patterns of human interaction in a different time scale Another important issue in link streams is computing cliques. Our main contribution is to define a set of procedures to represent arrivals and departures of buses in a link stream representation whose cliques provide the necessary information to compute performance indicators as transfer times, bunching, congestion, and number of passengers transferred between buses.
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