Method and device for obtaining traffic status based on sensor network

Abstract

The invention relates to a method for obtaining traffic status based on a sensor network and a device thereof. The method and the device adopt a transmission mode where a site bus is combined with a mass-data transmission network to form the sensor network for obtaining the traffic status. A sensor access node and a compound node have data processing capability. Such traffic status parameters, which reflect the traffic status at the section, as traffic flow, time occupancy factor, vehicle instantaneous speed, average speed at a section, and distribution feature of flow at the section over time, are obtained at the access node of the sensor network; fusion of logistic level is finished at the compound node to obtain such parameters reflecting zone traffic status as delay time, saturation flow rate, average queue length, average queue time at a road section, average driving time, average journey time, average driving speed, traffic coefficient, and average delay time at a small granule area; and fusion of business level is finished in a central computer to obtain such parameters reflecting large granule traffic status as average journey time at different routes, traffic coefficient at different routes and zone traffic jam degree.

Description

technical field [0001] The invention relates to a sensor network-based traffic state acquisition method and device thereof, belonging to the field of intelligent traffic. Background technique [0002] Traffic safety, traffic congestion and environmental pollution are the three major problems plaguing the field of international transportation today, and traffic safety is the most serious problem. To this end, the developed countries in the world are investing a lot of money and manpower to conduct large-scale intelligent transportation technology research and experiments. Intelligent transportation technology (ITS) refers to a new type of information-based, intelligent and socialized transportation system formed by applying advanced information technology, data communication transmission technology, electronic control technology, and computer processing technology to the transportation industry. , which enables the transportation infrastructure to maximize its performance. ...

AI Technical Summary

Problems solved by technology

Therefore, it is impossible to directly perform data interaction, accurately collect traffic state information in intervals, and cannot constitute a full-time and space-time traffic state acquisition system;

[0007] 3. Existing sensors are mainly oriented to traffic control and management, and their roles in traffic information services, traffic safety guarantees, and traffic infrastructure monitoring have not been fully utilized

The characteristic of the existing traffic state acquisition method is that the sensor data is directly transmitted to the traffic management center, and the on-site data processing capability of the sensor is limited, resulting in a large pressure on the network transmission and central computer data processing of the current road traffic state acquisition; The degree of interaction and sharing is poor, resulting in the existing state acquisition method can only measure cross-sectional traffic parameters, interval traffic parameters and regional traffic parameters need to be estimated in the central computer, and the real-time performance is poor

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