Numerical Calibration Method for Vehicle Velocity Data from Electronic Registration Identification of Motor Vehicles Based on Mobile Edge Computing and Particle Swarm Optimization Neural Network

Table 1

The calibration results of detected velocity values under different algorithms.

Lane number (number of samples)	Optimization method	Number of samples with error ≤1%	Proportion of samples with error ≤1%	Number of samples with error ≤3%	Proportion of samples with error ≤3%	Number of samples with error ≤5%	Proportion of samples with error ≤5%	Number of samples with error >5%	Proportion of samples with error >5%
Lane no. 1 (1256)	Uncalibrated	284	22.61	539	42.91	798	63.54	458	36.46
	Algorithm 1	302	24.04	674	53.66	878	69.90	378	30.10
	Algorithm 2	332	26.43	699	55.65	909	72.37	347	27.63
	Algorithm 3	386	30.73	759	60.43	1053	83.84	203	16.16
Lane no. 2 (1432)	Uncalibrated	332	23.18	683	47.70	995	69.48	437	30.52
	Algorithm 1	399	27.86	796	55.59	1092	76.26	340	23.74
	Algorithm 2	448	31.28	807	56.35	1245	86.94	187	13.06
	Algorithm 3	498	34.78	893	62.36	1323	92.39	109	7.61
Lane no. 3 (1494)	Uncalibrated	353	23.63	698	46.72	1002	67.07	492	32.93
	Algorithm 1	387	25.90	769	51.47	1104	73.90	390	26.10
	Algorithm 2	472	31.59	821	54.95	1265	84.67	229	15.33
	Algorithm 3	531	35.54	901	60.31	1376	92.10	118	7.90
Lane no. 4 (1379)	Uncalibrated	301	21.83	592	42.93	879	63.74	500	36.26
	Algorithm 1	344	24.95	673	48.80	953	69.11	426	30.89
	Algorithm 2	380	27.56	733	53.15	1034	74.98	345	25.02
	Algorithm 3	413	29.95	853	61.86	1143	82.89	236	17.11
Lane no. 5 (1402)	Uncalibrated	267	19.04	582	41.51	949	67.69	453	32.31
	Algorithm 1	309	22.04	672	47.93	1012	72.18	390	27.82
	Algorithm 2	350	24.96	749	53.42	1044	74.47	358	25.53
	Algorithm 3	401	28.60	829	59.13	1097	78.25	305	21.75
Lane no. 6 (1386)	Uncalibrated	341	24.60	603	43.51	1015	73.23	371	26.77
	Algorithm 1	422	30.45	692	49.93	1098	79.22	288	20.78
	Algorithm 2	478	34.49	795	57.36	1164	83.98	222	16.02
	Algorithm 3	503	36.29	832	60.03	1267	91.41	119	8.59
Lane no. 7 (1429)	Uncalibrated	332	23.23	586	41.01	998	69.84	431	30.16
	Algorithm 1	441	30.86	689	48.22	1086	76.00	343	24.00
	Algorithm 2	476	33.31	807	56.47	1239	86.70	190	13.30
	Algorithm 3	513	35.90	841	58.85	1302	91.11	127	8.89
Lane no. 8 (1308)	Uncalibrated	290	22.17	490	37.46	878	67.13	430	32.87
	Algorithm 1	304	23.24	572	43.73	954	72.94	354	27.06
	Algorithm 2	343	26.22	689	52.68	1003	76.68	305	23.32
	Algorithm 3	376	28.75	772	59.02	1097	83.87	211	16.13