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<p>The rapid advancement of intelligent transportation and real-time informatization enables travelers to choose the optimal traffic mode by considering dynamic traffic and path navigation information. In this case, the conventional Logit model is limited in predicting traffic modes. Firstly, the relationships between information and personal characteristics were given by analyzing the impact of real-time information on travelers’ behaviors. Then, the defects of the Logit model were pointed out. The Box-Cox of <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="44147_2025_622_Article_IEq1.gif" Format="GIF" Height="32" Rendition="HTML" Resolution="72" Type="Linedraw" Width="42" /> </InlineMediaObject> <EquationSource Format="TEX">\({X}_{pin}^{\left({\lambda }_{p}\right)}\)</EquationSource> <EquationSource Format="MATHML"><math> <msubsup> <mi>X</mi> <mrow> <mi mathvariant="italic">pin</mi> </mrow> <mfenced close=")" open="("> <msub> <mi>λ</mi> <mi>p</mi> </msub> </mfenced> </msubsup> </math></EquationSource> </InlineEquation> was modified to indicate the effect of informatization influence degree <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="44147_2025_622_Article_IEq2.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="18" /> </InlineMediaObject> <EquationSource Format="TEX">\({\lambda }_{\text{p}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>λ</mi> <mtext>p</mtext> </msub> </math></EquationSource> </InlineEquation> on the utility function. Finally, the modified Logit model was verified based on the practical cases of Chengdu province, China. Based on the modified Logit model, the prediction accuracy of traffic modes significantly surpassed that of the conventional Logit model.</p>

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Modification of the traffic-mode split model under real-time informatization

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年5月9日

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  • Jinwei Zhang,
  • Jianping Gao

摘要

The rapid advancement of intelligent transportation and real-time informatization enables travelers to choose the optimal traffic mode by considering dynamic traffic and path navigation information. In this case, the conventional Logit model is limited in predicting traffic modes. Firstly, the relationships between information and personal characteristics were given by analyzing the impact of real-time information on travelers’ behaviors. Then, the defects of the Logit model were pointed out. The Box-Cox of \({X}_{pin}^{\left({\lambda }_{p}\right)}\) X pin λ p was modified to indicate the effect of informatization influence degree \({\lambda }_{\text{p}}\) λ p on the utility function. Finally, the modified Logit model was verified based on the practical cases of Chengdu province, China. Based on the modified Logit model, the prediction accuracy of traffic modes significantly surpassed that of the conventional Logit model.