Urban road traffic jam judging method based on vehicle GPS data

Abstract

The invention discloses an urban road traffic jam judging method based on vehicle GPS data, and relates to an urban road traffic jam judging method. The problem that an application range of a traffic jam judging method depending detection equipment data is relatively large in limitation because conventional traffic information detection equipment is adopted by an existing urban road traffic jam judging method is solved. The urban road traffic jam judging method comprises the following steps: constructing an urban road link travel time prediction model based on an artificial neural network model; calculating link travel time data of a current moment according to a position vector, a link number vector, a time stamp vector and a speed vector of the current moment according to a vehicle GPS by using the urban road link travel time prediction model; further calculating a link traffic flow velocity and a link traffic flow density based on the link travel time data; with data of the link traffic flow velocity and the link traffic flow density as input conditions, judging a road traffic jam state. According to the urban road traffic jam judging method, the traffic jam state can be rapidly and accurately judged according to the GPS data of the current moment.

Description

technical field [0001] The invention relates to a method for judging urban road traffic jams. Background technique [0002] According to data from the Ministry of Public Security, by the end of 2013, the number of cars in the country exceeded 137 million, an increase of 11.4% compared to 2012. There are 31 cities in the country with more than one million cars. The rapid increase in the number of urban vehicles will lead to serious traffic congestion, which has become a common problem faced by cities across the country, resulting in huge economic losses. According to the data from the Ministry of Communications, the annual economic loss caused by traffic congestion reaches 250 billion yuan, which is equivalent to 5%-8% of the annual GDP. In addition, traffic congestion will also lead to indirect losses such as the deterioration of the urban environment, the decline in the health of residents, and the reduction in urban travel satisfaction. Use data such as road traffic flow...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a kind of urban road traffic congestion discrimination method based on vehicle GPS data, to solve the existing urban road traffic congestion discrimination method due to the use of traditional traffic information detection equipment, the cost of installation and layout is often high, technical difficulty is large, Difficulties in post-maintenance and operation have limited the application range of traffic congestion discrimination methods based on the data of these detection equipment.

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