Research Article

Analysis of the Relationship between Vehicle Behaviors of Changing Lane and Volume of Traffic under Different Operating Ratios of Autonomous Vehicles

Table 1

The liner correlation table of traffic volume q and the rate of vehicles exiting lane (RLCin) and the rate of vehicles entering lane (RLCout) under different operation ratios of autonomous vehicles.

Lane 1Lane 2Lane 3Lane 4
RLCoutRLCinRLCoutRLCinRLCoutRLCinRLCoutRLCin

Penetration rate = 10%Pearson correlation0.1820.0560.6520.6910.219−0.298−0.2450.081
Sig. (2-tailed)00.004000000

Penetration rate = 20%Pearson correlation0.2020.0480.6500.6830.165−0.227−0.1420.207
Sig. (2-tailed)00.015000000

Penetration rate = 30%Pearson correlation0.2410.1030.6390.6640.253−0.018−0.0420.258
Sig. (2-tailed)000000.3610.0310

Penetration rate = 40%Pearson correlation0.2140.0460.6400.6830.244−0.036−0.0410.243
Sig. (2-tailed)00.020000.070.0350

Penetration rate = 50%Pearson correlation0.2350.0870.6480.6700.2620.0680.0640.295
Sig. (2-tailed)0000000.0010

Penetration rate = 60%Pearson correlation0.2850.1520.6170.6490.3210.2140.1430.330
Sig. (2-tailed)00000000

Penetration rate = 70%Pearson correlation0.2850.1950.5690.6180.2520.1670.1360.319
Sig. (2-tailed)00000000

Penetration rate = 80%Pearson correlation0.3140.2290.5390.5850.2170.1180.1160.348
Sig. (2-tailed)00000000

Penetration rate = 90%Pearson correlation0.3380.2470.4310.4430.1730.0560.1100.313
Sig. (2-tailed)000000.00400

The obvious correlation when the level is 0.05 (two tail); (b) the obvious correlation when the level is 0.01 (two tail).