Abstract

The article shows the application of a program developed in mathematical platform, used to organize the urban transport that involves a system of bus lines conjugated for collective use. Three different bus lines were considered, connecting different neighborhoods. The results show the number of buses required, estimated times, arrival and departure times for three bus lines, from a hypothetical location, based on simulated data, showing the potential of the program to develop an integrated system with the subway. The program can be easily extended, allowing the inclusion of more bus lines and immediate results for any desired change / insertion of data, allowing a better and faster evaluation of the problem. The study and its results present an important tool of support and decision making to subsidize the urban transport planning of medium and large cities.

Highlights

  • The circulation and movement of the population to work, schools, health, leisure, among other purposes, is a necessity of the human being, where collective transportation plays a fundamental role

  • With population growth there is an increase in the demand for transportation, triggering the expansion of the fleet of vehicles, reflecting the intensification of agglomerations and congestion in urban areas complicating the logistics of the road system becoming more complex

  • The article pointed out the most important parameters when you are establishing an integrated metro-bus system and showed how the number of passengers and the average bus velocity influenced on the results

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Summary

INTRODUCTION

The circulation and movement of the population to work, schools, health, leisure, among other purposes, is a necessity of the human being, where collective transportation plays a fundamental role. There are cities in the country that present a less than two inhabitants for each car present, which makes almost all measures impossible to guarantee a more efficient transport system This problem highlights the need for improvements in urban transport systems, whose progress in quality results from the integration of their systems, where indicators of accessibility, frequency of service, travel time, stocking, reliability, (Ferraz & Torres, 2001). Yin et al (2018) that developed a discrete three-tier choice behavior model to analyze the dynamic demand for passenger flow under metro station disruption; and an integrated algorithm designed to manage and control the station's outage crisis by providing additional bus bridging services in order to minimize the total travel time of affected passengers and the cost of bus bridges. All the data uses are hypothetical and the model can be improved to apply to a more complex transport scheme including others metro connecting options if desired (water boat transport, bicycle, etc), walking distance from metro and bus station, extra bus lines in case of accidents occurring in one of the stations, etc

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