N-order Neighbor Road Network Based Vehicle Travel Time Estimation Model

ZHANG Deng-yi; OUYANG Chu-fei; WU Wen-li

doi:10.3969/j.issn.0372-2112.2015.12.022

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N-order Neighbor Road Network Based Vehicle Travel Time Estimation Model

更新时间：2025-07-16

- N-order Neighbor Road Network Based Vehicle Travel Time Estimation Model
- Acta Electronica Sinica Vol. 43, Issue 12, Pages: 2491-2496(2015)
- 作者机构：
  
  武汉大学计算机学院,湖北,武汉,430072
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2015.12.022
  CLC： TP301
- Published：2015
- 稿件说明：
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ZHANG Deng-yi, OUYANG Chu-fei, WU Wen-li. N-order Neighbor Road Network Based Vehicle Travel Time Estimation Model[J]. Acta Electronica Sinica, 2015, 43(12): 2491-2496.
DOI：

ZHANG Deng-yi, OUYANG Chu-fei, WU Wen-li. N-order Neighbor Road Network Based Vehicle Travel Time Estimation Model[J]. Acta Electronica Sinica, 2015, 43(12): 2491-2496. DOI： 10.3969/j.issn.0372-2112.2015.12.022.

摘要

车联网的提出为智能交通的研究提供了新的交通信息收集技术.针对短时交通中车辆的路网行程时间估计问题

提出了基于

阶近邻的隐马尔科夫模型

利用马尔科夫性质来解决道路行程时间的前后关联性问题

同时考虑不同道路的异构性构建了

阶近邻路网模型来模拟路网间的交互影响.针对短时交通中实时数据更新的问题

提出基于道路关联性算法

并结合车联网的采集技术给出了迭代更新模型的方法.实验表明

本文提出的方法在短时交通车辆行程时间预测中精度较高

能够在车辆行进中做出实时预测.

Abstract

The development of Internet of vehicles provides a new traffic information collection technique for the study of intelligent transportation.In this article

we propose an

-order hidden Markov model to approach the vehicle travel time prediction problem

utilizing the Markov nature to model the internship of road network.We also promote an

-order neighbor road network to address the heterogeneity of road.A non-trivia update algorithm is applied to handle the real time data approaching issue.We also prove the temporality of the

-order hidden Markov model in travel time prediction.Experimental results on authentic data indicate the effectiveness and accuracy of this approach.

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