Analysis and Prediction on Vehicle Ownership Based on an Improved Stochastic Gompertz Diffusion Process

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309 23 153C23 54 65 -12 128 -12C203 -12 283 70 339 155H341C360 29 380 -12 411 -12C444 -12 491 11 545 106ZM333 204C265 95 210 54 169 54C137 54 113 96 113 171C113 302 191 405 252 405C301 405 318 306 333 204Z" id="g113-223"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="568" vert-adv-y="568" xpluscharwidth="7.384"></glyph.data></g><g transform="matrix(.0091,0,0,-0.0091,7.059,3.132)"><path d="M290 377C321 398 342 415 358 430C378 450 389 473 389 502C389 578 329 635 238 635H237C184 635 137 610 109 578L64 515L88 493C112 529 154 573 208 573S303 542 303 482C303 409 233 370 141 341L149 308C165 313 190 319 215 319C272 319 341 283 341 193C342 98 292 43 222 43C163 43 122 72 96 94C88 101 79 100 70 94C61 87 47 73 46 60C44 47 48 37 62 23C76 10 118 -12 165 -12C238 -12 430 62 430 223C430 297 379 359 290 375V377Z" id="g50-52"></path><glyph.data ascent="3443" descent="-2856" horiz-adv-x="487" vert-adv-y="487" xpluscharwidth="11.49068539"></glyph.data></g></svg> (noise)</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">30.790</td><td class="align_center">8.308</td><td class="align_center">0.028</td><td class="align_center">1.190</td><td class="align_center">0.028</td><td class="align_center">1.26</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Estimated parameters of improved SGDP in China.

Journal of Advanced Transportation

tab4

Table 4

Table 4: Analysis and Prediction on Vehicle Ownership Based on an Improved Stochastic Gompertz Diffusion Process 