Urban viaduct traffic state sensing method based on bayonet and HADOOP technology
A traffic state and viaduct technology, applied in traffic flow detection and other directions, can solve problems such as insufficient data value mining, resource waste, lack of bayonet big data processing and analysis, etc., to improve efficient processing capabilities, improve utilization, and solve The effect of retrieving large amounts of data
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[0054] 1) Take the bayonet data from 10:05 to 10:15, and after matching the license plates, it is learned that there are three vehicles entering the ramp from ramp 1, and exiting from ramp 3, ramp 4, and ramp 5. The time for the three vehicles to enter and leave the ramp are:
[0055] Vehicle 1: 10:05 when entering ramp 1 and 10:09 when leaving ramp 3;
[0056] Vehicle 2: 10:06 when entering ramp 1 and 10:11 when leaving ramp 4;
[0057] Vehicle 3: 10:05 when entering ramp 1 and 10:13 when exiting ramp 5.
[0058] The distance from ramp 1 to ramp 2 is 1.5 km, the distance from ramp 1 to ramp 3 is 4.1 km, the distance from ramp 1 to ramp 4 is 4.9 km, and the distance from ramp 1 to ramp 5 is 5.6 km.
[0059] 2) Calculate the travel time of three vehicles passing through the road section (ramp 1 to ramp 2):
[0060] t 1 =1.5 / 4.1*240=87.9s
[0061] t 2 =1.5 / 4.9*300=91.8s
[0062] t 3 =1.5 / 5.6*480=120s
[0063] 3) The average travel time of the road section (ramp 1 to ramp 2) is:
[0064] t=87....
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