Subject. The article considers functioning and development of process flows of transportation and logistics system of a smart city.
Objectives. The study identifies factors and dependencies of the quality of human life on the organization and management of stream processes.
Methods. I perform a comparative analysis of previous studies, taking into account the uniquely designed results, and the econometric analysis.
Results. The study builds multiple regression models that are associated with stream processes, highlights interdependent indicators of temporary traffic and pollution that affect the indicator of life quality. However, the identified congestion indicator enables to predict the time spent in traffic jams per year for all participants of stream processes.
Conclusions. The introduction of modern intelligent transportation systems as a component of the transportation and logistics system of a smart city does not fully solve the problems of congestion in cities at the current rate of urbanization and motorization. A viable solution is to develop cooperative and autonomous intelligent transportation systems based on the logistics approach. This will ensure control over congestion, the reduction of which will contribute to improving the life quality of people in urban areas.
An Improved Stacked Denoise Autoencoder with Elu Activation Function for Traffic Data Imputation
