Vehicle red light running detection method and system

Abstract

The invention relates to a vehicle red light running detection method. The vehicle red light running detection method comprises the steps of: obtaining a driving orientation of a vehicle, the driving-in time that a vehicle just enters a behavior recording region, the driving-out time that the vehicle is about to leave the behavior recording region, driving orientation and signal light number comparison information, and signal light time and color history comparison information; determining a corresponding target signal light number according to the driving orientation, determining corresponding target signal light time and color history comparison information, and determining a signal light color within a time period from the driving-in time to the driving-out time; determining if the signal light color is red and does not change in the time period, and determining that there is a red light running behavior if so. The vehicle red light running detection method can determine if an electric vehicle or a motorcycle has a red light running behavior, is high in conclusion accuracy, can punish a vehicle owner who has the red light running behavior afterwards, can play a role in deterringa vehicle owner who is low in quality and has a tendency to violate the rules, can lower the probability of traffic accidents, and can maintain the safety of traffic intersections.

Description

technical field [0001] The invention relates to the field of traffic management, in particular to a method and system for detecting a vehicle running a red light. Background technique [0002] In recent years, with the vigorous development of e-commerce, the public's shopping habits have gradually changed from buying in physical stores to online shopping, and their eating habits have gradually changed from consuming in stores to ordering takeaways. These changes have prompted the further development of the distribution industry, whether it is Both food delivery and express delivery require delivery personnel to drive electric vehicles through the streets and alleys. The business model of these distribution personnel is based on the piece system, more pay for more work, which makes some distribution personnel make a few more orders in a hurry. Bad habits such as speeding, watching mobile phones while riding, grabbing red lights or running red lights at random, etc., not only...

AI Technical Summary

Problems solved by technology

The business model of these distribution personnel is based on the piece system, more pay for more work, which makes some distribution personnel make a few more orders in a hurry. Bad habits such as speeding, watching mobile phones while riding, grabbing red lights or running red lights at random, etc., not only affect other vehicles, violate traffic laws and regulations, but may even cause traffic accidents and cause personal and property losses

[0003] Among the many bad habits, running a red light may cause the most harm. Other bad habits may only cause minor injuries or vehicle damage, while running a red light may cause serious injuries or even death to the owner of an electric vehicle.

Images