A Dynamic Travel Time Estimation Model Based on Connected Vehicles

Daxin Tian; Yong Yuan; Honggang Qi; Yingrong Lu; Yunpeng Wang; Haiying Xia; Anping He

doi:10.1155/2015/903962

A Dynamic Travel Time Estimation Model Based on Connected Vehicles

Daxin Tian
, Yong Yuan
, Honggang Qi
, Yingrong Lu
, Yunpeng Wang
, Haiying Xia
, Anping He^*

^*Corresponding author for this work

School of Transportation Science and Engineering

Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies
Ministry of Public Security of China
Beihang University
University of Chinese Academy of Sciences
Ministry of Transport of the People's Republic of China
Lanzhou University

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

With advances in connected vehicle technology, dynamic vehicle route guidance models gradually become indispensable equipment for drivers. Traditional route guidance models are designed to direct a vehicle along the shortest path from the origin to the destination without considering the dynamic traffic information. In this paper a dynamic travel time estimation model is presented which can collect and distribute traffic data based on the connected vehicles. To estimate the real-time travel time more accurately, a road link dynamic dividing algorithm is proposed. The efficiency of the model is confirmed by simulations, and the experiment results prove the effectiveness of the travel time estimation method.

Original language	English
Article number	903962
Journal	Mathematical Problems in Engineering
Volume	2015
DOIs	https://doi.org/10.1155/2015/903962
State	Published - 2015

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title = "A Dynamic Travel Time Estimation Model Based on Connected Vehicles",

abstract = "With advances in connected vehicle technology, dynamic vehicle route guidance models gradually become indispensable equipment for drivers. Traditional route guidance models are designed to direct a vehicle along the shortest path from the origin to the destination without considering the dynamic traffic information. In this paper a dynamic travel time estimation model is presented which can collect and distribute traffic data based on the connected vehicles. To estimate the real-time travel time more accurately, a road link dynamic dividing algorithm is proposed. The efficiency of the model is confirmed by simulations, and the experiment results prove the effectiveness of the travel time estimation method.",

author = "Daxin Tian and Yong Yuan and Honggang Qi and Yingrong Lu and Yunpeng Wang and Haiying Xia and Anping He",

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T1 - A Dynamic Travel Time Estimation Model Based on Connected Vehicles

AU - Tian, Daxin

AU - Yuan, Yong

AU - Qi, Honggang

AU - Lu, Yingrong

AU - Wang, Yunpeng

AU - Xia, Haiying

AU - He, Anping

PY - 2015

Y1 - 2015

N2 - With advances in connected vehicle technology, dynamic vehicle route guidance models gradually become indispensable equipment for drivers. Traditional route guidance models are designed to direct a vehicle along the shortest path from the origin to the destination without considering the dynamic traffic information. In this paper a dynamic travel time estimation model is presented which can collect and distribute traffic data based on the connected vehicles. To estimate the real-time travel time more accurately, a road link dynamic dividing algorithm is proposed. The efficiency of the model is confirmed by simulations, and the experiment results prove the effectiveness of the travel time estimation method.

AB - With advances in connected vehicle technology, dynamic vehicle route guidance models gradually become indispensable equipment for drivers. Traditional route guidance models are designed to direct a vehicle along the shortest path from the origin to the destination without considering the dynamic traffic information. In this paper a dynamic travel time estimation model is presented which can collect and distribute traffic data based on the connected vehicles. To estimate the real-time travel time more accurately, a road link dynamic dividing algorithm is proposed. The efficiency of the model is confirmed by simulations, and the experiment results prove the effectiveness of the travel time estimation method.

UR - https://www.scopus.com/pages/publications/84947460051

U2 - 10.1155/2015/903962

DO - 10.1155/2015/903962

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SN - 1024-123X

VL - 2015

JO - Mathematical Problems in Engineering

JF - Mathematical Problems in Engineering

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A Dynamic Travel Time Estimation Model Based on Connected Vehicles

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