eng
Project Details:
The current public transport monitoring system in the city of São Paulo serves all system operators in its more than 14 years of implementation, however it is a system that lacks integrations and does not allow technological updating. Given this and the fact that São Paulo has the largest bus fleet in Latin America, the implementation of a new monitoring and operation structure for SPTrans is sought. Faced with this challenge, we provided technical and specialized consulting to the World Bank for evaluation and diagnosis of the Monitoring and Management System of Operations (SMGO) to be hired by SPTrans to solve the current gaps.
After benchmarking and analysis, our recommendations aim to achieve the maximum level of maturity for the system, which would be multimodal optimized. To achieve this, it is necessary to integrate the system with other modes and agencies of the city of São Paulo (such as Traffic, Transportation and Civil Defence) and of the State Government (Subway, CPTM, EMTU, Military Police, Fire Department, among others), as well as consider the regional impacts on the mobility of the city. It is also necessary to ensure greater automation of the system so that operators act only in the case of exceptions, identified by the activation of alarms. In addition, for optimization, it is recommended that the system be smart enough to store and learn from these exceptions, identifying new patterns that can be automated in the future.
After benchmarking and analysis, our recommendations aim to achieve the maximum level of maturity for the system, which would be multimodal optimized. To achieve this, it is necessary to integrate the system with other modes and agencies of the city of São Paulo (such as Traffic, Transportation and Civil Defence) and of the State Government (Subway, CPTM, EMTU, Military Police, Fire Department, among others), as well as consider the regional impacts on the mobility of the city. It is also necessary to ensure greater automation of the system so that operators act only in the case of exceptions, identified by the activation of alarms. In addition, for optimization, it is recommended that the system be smart enough to store and learn from these exceptions, identifying new patterns that can be automated in the future.