Path optimization research for in-vehicle navigation systems

In order to improve the use of roads and solve the huge pressure brought by the influx of a large number of private cars on the existing traffic and transportation network due to the development of the economy and the improvement of people's living standards1, thus leading to more and more large and medium-sized city roads facing traffic congestion and increasingly serious status quo, to achieve the purpose of reducing traffic congestion, this paper uses an intelligent algorithm - this paper uses an intelligent algorithm - the seagull optimisation algorithm - to optimise the driving route of in-car navigation, so as to achieve the shortest possible vehicle driving time and driving path, reduce traffic pressure and improve the current situation of traffic congestion.