Intelligent vehicle speed prompting driving system based on mobile phone

Abstract

The invention discloses an intelligent vehicle speed prompting driving system based on a mobile phone. The intelligent vehicle speed prompting driving system comprises the mobile phone on a vehicle and a server. According to the work processes of the mobile phone and the server, the GPS and accelerated speed information of the mobile phone on the vehicle are collected in a crowdsourcing mode, and data are transmitted to the server through a wireless network at certain time; the positions of road junctions with traffic lights are determined through an accelerated speed vector distribution map and a GPS path; a road is represented by using a secondary B spline; the accelerated speed events of each road junction are collected in a crowdsourcing mode, and the time tables of the traffic lights of the road junctions are deduced; the optimal speed is prompted for the vehicle according to a generated map and the time tables of the traffic lights of the front road junctions, and the situation that the vehicle meets a red light at the road junctions and stops is avoided as far as possible. On one hand, the map is generated though a new method, and on the other hand, the deduction of the time tables of the traffic lights at the complex road junctions is solved through a road junction structure.

Description

technical field [0001] The invention relates to an intelligent traffic system, in particular to a mobile phone-based intelligent vehicle speed prompt driving system. Background technique [0002] Today, traffic lights dominate urban traffic, coordinating the safe passage of vehicles on different roads through intersections. But because drivers lack traffic light information, it is difficult for them to adopt an appropriate speed while driving, so they often have to stop and wait for a red light when they reach an intersection. This stop-and-go driving pattern leads to more energy consumption, air pollution, traffic congestion and safety accidents. In 2011, road congestion cost U.S. city dwellers an additional 5.5 billion hours of time and 2.9 billion gallons of gasoline, totaling an additional $121 billion, according to the Texas Transportation Institute. [0003] Therefore, we hope to dynamically adjust traffic signal timing to adapt to traffic flow, or inform drivers of ...

AI Technical Summary

Problems solved by technology

But in most cases, the traffic department does not have accurate traffic light information

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