Optimization of VRR for Cold Chain with Minimum Loss Based on Actual Traffic Conditions

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Vehicles</td><td class="align_center">The route of each vehicle</td><td class="align_center">The realistic delivery on E-map (minutes)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Fist vehicle</td><td class="align_center"><span style="width: 291.034ptpx;"><svg height="8.98582pt" id="M136" style="vertical-align:-0.6370001pt" version="1.1" viewbox="-0.0498162 -8.34882 291.034 8.98582" width="291.034pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 466 390 635 241 635ZM238 602C329 602 354 454 354 312C354 172 330 22 240 22C152 22 124 173 124 313S148 602 238 602Z"></path></g><g transform="matrix(.013,0,0,-0.013,6.24,0)"><path 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602Z"></path></g></svg></span></td><td class="align_center">334</td></tr><tr><td class="align_left">Second vehicle</td><td class="align_center"><span style="width: 156.858ptpx;"><svg height="8.98582pt" id="M137" style="vertical-align:-0.6370001pt" version="1.1" viewbox="-0.0498162 -8.34882 156.858 8.98582" width="156.858pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 466 390 635 241 635ZM238 602C329 602 354 454 354 312C354 172 330 22 240 22C152 22 124 173 124 313S148 602 238 602Z"></path></g><g transform="matrix(.013,0,0,-0.013,6.24,0)"><path d="M535 230V280H52V230H535Z"></path></g><g transform="matrix(.013,0,0,-0.013,17.503,0)"><path d="M512 230V281L75 514V456L453 256V254L75 55V-3L512 230Z"></path></g><g transform="matrix(.013,0,0,-0.013,28.766,0)"><path d="M137 343C167 482 260 545 321 574C357 591 397 603 429 609L423 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transform="matrix(.013,0,0,-0.013,127.543,0)"><path d="M535 230V280H52V230H535Z"></path></g><g transform="matrix(.013,0,0,-0.013,138.806,0)"><path d="M512 230V281L75 514V456L453 256V254L75 55V-3L512 230Z"></path></g><g transform="matrix(.013,0,0,-0.013,150.069,0)"><path d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 466 390 635 241 635ZM238 602C329 602 354 454 354 312C354 172 330 22 240 22C152 22 124 173 124 313S148 602 238 602Z"></path></g></svg></span></td><td class="align_center">120</td></tr><tr><td class="align_left">Third vehicle</td><td class="align_center"><span style="width: 169.385ptpx;"><svg height="8.98582pt" id="M138" style="vertical-align:-0.6370001pt" version="1.1" viewbox="-0.0498162 -8.34882 169.385 8.98582" width="169.385pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 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transform="matrix(.013,0,0,-0.013,140.025,0)"><path d="M535 230V280H52V230H535Z"></path></g><g transform="matrix(.013,0,0,-0.013,151.288,0)"><path d="M512 230V281L75 514V456L453 256V254L75 55V-3L512 230Z"></path></g><g transform="matrix(.013,0,0,-0.013,162.55,0)"><path d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 466 390 635 241 635ZM238 602C329 602 354 454 354 312C354 172 330 22 240 22C152 22 124 173 124 313S148 602 238 602Z"></path></g></svg></span></td><td class="align_center">163</td></tr><tr><td class="align_left">Fourth vehicle</td><td class="align_center"><span style="width: 169.385ptpx;"><svg height="8.98582pt" id="M139" style="vertical-align:-0.6370001pt" version="1.1" viewbox="-0.0498162 -8.34882 169.385 8.98582" width="169.385pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 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transform="matrix(.013,0,0,-0.013,151.289,0)"><path d="M512 230V281L75 514V456L453 256V254L75 55V-3L512 230Z"></path></g><g transform="matrix(.013,0,0,-0.013,162.552,0)"><path d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 466 390 635 241 635ZM238 602C329 602 354 454 354 312C354 172 330 22 240 22C152 22 124 173 124 313S148 602 238 602Z"></path></g></svg></span></td><td class="align_center">182</td></tr><tr><td class="align_left" colspan="2">The total time</td><td class="align_center">799</td></tr><tr><td class="align_left" colspan="2">The total cost</td><td class="align_center">4504.5</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Distribution paths of 4 vehicles based on the traditional method.</div>

Wireless Communications and Mobile Computing

tab5

Table 5

Table 5: Optimization of VRR for Cold Chain with Minimum Loss Based on Actual Traffic Conditions 