Читать книгу Machine Learning Paradigm for Internet of Things Applications - Группа авторов - Страница 35

Multiple major companies, such as OLA, Uber, and the car manufacturers, are increasingly developing autonomous vehicles. For self-parking vehicles, the Indian Department of Transportation has just paved the way. This are projected to be on the market and generally available as early as 2020, likely with significant market shares. More users in the city nowadays are using the private transport more than the public transportation such that it has some effects in the public transportation and lead to more pollution around the economical city [16]. They should encourage the public mode of transportation to others and to help the environment.

It is possible that traffic control in a smart city would be drastically different. Future methods would be collaborative, unlike the individual driver-focused current solution, where the aim is to maximize flow in a road system. This could include a drop in waiting times for traffic lights and average delay, a decrease in mean cumulative travel time, or an increase in overall highway productivity. Traffic management now also uses traffic light networks that track road traffic with timers and sensors [17]. Efforts are being made to develop software that can forecast traffic flows, a smart trip simulation system built on the neural network that can simulate speed profile conditions with a high degree of accuracy at various sensor locations.