Abstract
This study describes a system for the automatic recording of positioning data for public transport vehicles used on roads. With the data provided by this system, transportation-regulatory authorities can control, verify and improve the routes that vehicles use, while also providing new data to improve the representation of the transportation network and providing new services in the context of intelligent metropolitan areas. The system is executed autonomously in the vehicles, by recording their massive positioning data and transferring them to remote data banks for subsequent processing. To illustrate the utility of the system, we present a case of application that consists of identifying the points at which vehicles stop systematically, which may be points of scheduled stops or points at which traffic signals or road topology force the vehicle to stop. This identification is performed using pattern recognition techniques. The system has been applied under real operating conditions, providing the results discussed in the present study.
Highlights
Entities responsible for the regulation of public transportation on roads need data that allow them to verify that the operations of transportation companies are executed according to plan
This paper has described an automatic vehicle positioning data collection system for public transportation on roads
The system was developed to help transportation regulatory agencies perform their objectives related to the control and improvement of public transportation
Summary
Entities responsible for the regulation of public transportation on roads need data that allow them to verify that the operations of transportation companies are executed according to plan. These agencies frequently request the data from the companies in charge of providing this service that includes trip starting time, time history of stops, frequency and trips performed. In many cases, these data are difficult to provide because the companies do not have the necessary technology to acquire them.
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