Magnetoresistive sensor and ZigBee network-based intelligent method for monitoring vehicle flow

Abstract

The invention relates to a intelligent method for monitoring vehicle flow, wherein the method is based on a magnetoresistive sensor and a ZigBee network. The method is used to solve some problems in urban traffic. According to the invention, vehicle flow in traffic is monitored. And then after data is processed, the data is transmitted to a traffic control department and a communication service provider; on one hand, the obtain data information is further utilized by the traffic control department to lead and control the traffic; on the other hand, the communication service provider utilizes a self-communication network to give guidance to information-demanding users including mobile communication users for their trips. Therefore, people can understand the situation of the amount of the traffic without passing a section of a road; consequently, support is provided for selection of trip routes of the people taking trips, so that it is convenient for the people to go out and an operation of a city becomes more efficient. With utilization of the mobile communication network of the communication service provider and mobile terminal equipment like a mobile phone and a PDA and the like, traffic indication and guidance are provided for people that go out and people that are on the way, so that a traffic jam degree can be reduced, traffic accidents can be avoided, and success rates of handling special events like emergency rescue and disaster rescue can be improved.

Description

technical field [0001] The present invention is an application system based on wireless sensor network (Wireless Sensor Networks: WSN) technology in traffic flow monitoring. The invention provides initial traffic flow data for solving the congestion problem existing in urban traffic, and is helpful for alleviating increasingly serious urban traffic congestion. Problems provide an important means of solution. The invention belongs to the technical field of Internet of Things. Background technique [0002] Urban traffic congestion and congestion are becoming more and more serious, and such problems can be described as worldwide problems. Most cities in the world are suffering from traffic congestion to varying degrees, except for a very small number of cities due to developed public transport systems and restrictions on the development of private cars, or due to the small number of urban population and vehicles. It restricts the development of the automobile manufacturing in...

AI Technical Summary

Problems solved by technology

[0003] (1) In some busy sections of the city, traffic jams often occur, wasting people's travel time

[0004] (2) When emergencies occur on some road sections, vehicles that will pass through this section cannot be notified in time, so that vehicles can avoid congested traffic roads and choose less time-consuming traffic roads

Once the vehicle reaches this road section, it needs to return or detour, which greatly increases the occupation time of the road and further leads to road traffic congestion

[0005] (3) For a specific vehicle, such as an ambulance, when there is an emergency situation, when it is necessary to rush to or rush back to the designated place quickly, when the congestion situation of some potential roads with poor traffic is not grasped, it may be crowded by some vehicles. Delayed by the location, causing the object in need of treatment to miss the best time for treatment

[0006] (4) When people are waiting for the bus at the bus station, they often do not know the arrival time of the next bus, and cannot make reasonable plans for the travel mode. It is easy to delay important things due to long waiting, resulting in waste of resources

[0007] At the same time, traffic jams cause vehicles to start, stop, and accelerate frequently, which increases the amount of pollutant discharge, aggravates the pollution of exhaust gas and noise, and aggravates environmental damage.

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