Short-term Travel Time Estimation and Prediction for Long Freeway Corridor using NN and regression

被引：0

作者：

Wang, J. Y. ^{[1
]}

Wong, K. I. ^{[1
]}

Chen, Y. Y. ^{[1
]}

机构：

[1] Natl Chiao Tung Univ, Dept Transportat Technol & Management, Hsinchu 30050, Taiwan

来源：

2012 15TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) | 2012年

关键词：

Advanced Traveler Information System; travel time; Nearest Neighborhood; floating car data; vehicle detector; EXTENDED KALMAN FILTER;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Travel time information is a fundamental component in Advanced Traveler Information System. In this paper, we propose a short-term travel time estimation and prediction framework for long freeway corridor, considering measurements from vehicle detectors (VD) and floating car data (FCD). The modeling approach is based on a modified Nearest-Neighborhood (NN) model with threshold and a regression model capturing the within day variations. The advantages are that our approach allows for missing data without the need of data imputation in real-time, and is suitable for travel time prediction of long corridors. The validation analysis using an 88 km long section of freeway shows satisfactory results.

引用

页码：582 / 587

页数：6

共 18 条

[1]

[Anonymous], TRANSP RES REC

[2] Evaluation of a cellular phone-based system for measurements of traffic speeds and travel times: A case study from Israel [J].

Bar-Gera, Hillel .

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2007, 15 (06) :380-391

[3]

Chang G.L., 2006, Development and Field Evaluation of a Real-Time Travel Time Prediction System

[4] Traffic prediction using multivariate nonparametric regression [J].

Clark, S .

JOURNAL OF TRANSPORTATION ENGINEERING, 2003, 129 (02) :161-168

[5] A bayesian dynamic linear model approach for real-time short-term freeway travel time prediction [J].

Fei, Xiang ;

Lu, Chung-Cheng ;

Liu, Ke .

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2011, 19 (06) :1306-1318

[6] Short-term prediction of motorway travel time using ANPR and loop data [J].

Li, Yanying .

JOURNAL OF FORECASTING, 2008, 27 (06) :507-517

[7]

Lin HE, 2005, PROC E ASIA SOC TRAN, V5, P1433

[8]

Lin W.-H., 2004, Journal of Intelligent Transportation Systems, V8, P143

[9] Modeling urban link travel time with inductive loop detector data by using the k-NN method [J].

Robinson, Steve ;

Polak, John W. .

INFORMATION SYSTEMS AND TECHNOLOGY, 2005, (1935) :47-56

[10]

Rubin DB, 1987, Multiple Imputation for Nonresponse in Surveys

← 1 2 →