Research Article

Research on Optimization Model of Logistics Transportation Truck Path considering Environmental Impact: Experimental Data from Xiqing District, Tianjin

Table 6

The lengths of truck path optimization at different time horizons.

Time horizons①-H②-J③-B③-I④-H⑤-G⑥-B⑥-E⑦-D⑦-F⑧-A⑨-C

0-128.1726.416.7029.5213.694.8522.4713.2620.0415.0817.7014.05
1-228.1726.416.7029.5213.694.8522.4713.2620.0415.0817.7014.05
2-328.1726.416.7029.5213.694.8522.4713.2620.0415.0817.7014.05
3-428.1726.416.7029.5213.694.8522.4713.2620.0415.0817.7014.05
4-528.1726.416.7029.5213.694.8522.4713.2620.0415.0817.7014.05
5-628.1726.416.7029.5213.694.8522.4713.2620.0415.0817.7014.05
6-729.2827.606.7030.4715.445.9624.0216.5920.0417.9119.5615.38
7-830.2530.527.7431.3015.446.2224.0215.2523.6817.9121.0217.63
8-930.8431.757.7432.9613.696.7325.9115.2523.6817.9121.0217.63
9-1030.8431.757.7431.3013.696.7325.9115.2520.0417.9119.5615.38
10-1130.8430.527.7430.4715.446.2224.0216.5920.0417.9119.5615.38
11-1230.8429.887.7431.3015.445.9624.0216.5920.0417.9119.5615.38
12-1330.8429.887.7430.4715.445.9624.0216.5920.0417.9119.5615.38
13-1432.7630.527.7431.3015.446.2224.8015.2520.0417.9119.5615.38
14-1530.2527.607.7430.4715.445.9624.8016.5920.0417.9119.5615.38
15-1630.2527.607.7432.9615.445.9624.0216.5920.0417.9119.5615.38
16-1732.7630.527.7432.9613.695.9625.9116.5923.6817.9119.5617.63
17-1832.7631.757.7432.9613.696.7325.9115.2523.6817.9121.0217.63
18-1932.7631.757.7432.9613.696.7325.9115.2523.6817.9121.0217.63
19-2032.7631.757.7432.9613.696.7325.9115.2523.6817.9121.0217.63
20-2130.2531.757.7431.3013.696.7325.9115.2523.6817.9121.0215.38
21-2232.7631.757.7431.3015.446.2224.8016.5923.6817.9119.5615.38
22-2329.2827.607.7430.4715.445.9624.0216.5923.6817.9119.5615.38
23-2428.1726.416.7029.5213.694.8522.4713.2620.0415.0817.7014.05