Fusing Loop Detector and Probe Vehicle Data to Estimate Travel Time Statistics on Signalized Urban Networks

被引：74

作者：

Bhaskar, Ashish ^{[1
]}

Chung, Edward ^{[2
]}

Dumont, Andre-Gilles ^{[1
]}

机构：

[1] Swiss Fed Inst Technol, Lab Traff Facil, CH-1015 Lausanne, Switzerland

[2] Queensland Univ Technol, Sch Urban Dev, Brisbane, Qld 4001, Australia

来源：

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING | 2011年 / 26卷 / 06期

关键词：

SPEED ESTIMATION; REAL-TIME; MODEL; PREDICTION; VOLUME; INTERSECTIONS; ALGORITHM; DELAYS; FLOW;

D O I：

10.1111/j.1467-8667.2010.00697.x

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This article presents a methodology that integrates cumulative plots with probe vehicle data for estimation of travel time statistics (average, quartile) on urban networks. The integration reduces relative deviation among the cumulative plots so that the classical analytical procedure of defining the area between the plots as the total travel time can be applied. For quartile estimation, a slicing technique is proposed. The methodology is validated with real data from Lucerne, Switzerland and it is concluded that the travel time estimates from the proposed methodology are statistically equivalent to the observed values.

引用

页码：433 / 450

页数：18

共 50 条

[21] Exploiting Probe Data to Estimate the Queue Profile in Urban Networks
Ramezani, Mohsen
Geroliminis, Nikolas
2013 16TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS - (ITSC), 2013, : 1817 - 1822
[22] Urban network travel time estimation from stop-line loop detector data and signal controller data
Bhaskar, A.
Chung, E.
Kuwahara, M.
de Mouzon, O.
Dumont, A. -G.
URBAN TRANSPORT XIII: URBAN TRANSPORT AND THE ENVIRONMENT IN THE 21ST CENTURY, 2007, 96 : 147 - +
[23] Travel time estimation with correlation analysis of single loop detector data
Guo, Huairui
Jin, Jionghua
ARTIFICIAL INTELLIGENCE AND ADVANCED COMPUTING APPLICATIONS, 2006, (1968): : 10 - 19
[24] Real-Time Estimation of Vehicle Counts on Signalized Intersection Approaches Using Probe Vehicle Data
Aljamal, Mohammad A.
Abdelghaffar, Hossam M.
Rakha, Hesham A.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (05) : 2719 - 2729
[25] Modeling urban link travel time with inductive loop detector data by using the k-NN method
Robinson, Steve
Polak, John W.
INFORMATION SYSTEMS AND TECHNOLOGY, 2005, (1935): : 47 - 56
[26] Assessing Highway Travel Time Reliability using Probe Vehicle Data
Olszewski, Piotr
Dybicz, Tomasz
Jamroz, Kazimierz
Kustra, Wojciech
Romanowska, Aleksandra
TRANSPORTATION RESEARCH RECORD, 2018, 2672 (15) : 118 - 130
[27] Modelling of segment level travel time on urban roadway arterials using floating vehicle and GPS probe data
Osei, Kwame Kwakwa
Adams, Charles Anum
Sivanandan, Ramaswamy
Ackaah, Williams
SCIENTIFIC AFRICAN, 2022, 15
[28] Probe vehicle data sampled by time or space: Consistent travel time allocation and estimation
Jenelius, Erik
Koutsopoulos, Hans N.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2015, 71 : 120 - 137
[29] Hidden Mixture Vehicle Discharge State Inference at Signalized Intersection Using Vehicle Travel Time and Discharge Headway Data
An, Chengchuan
Shen, Haoliang
Xu, Yueru
Lu, Zhenbo
Xia, Jingxin
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (11) : 21700 - 21711
[30] Reliable corridor level travel time estimation using probe vehicle data
Sakhare, Rahul
Vanajakshi, Lelitha
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2020, 12 (08): : 570 - 579

← 1 2 3 4 5 →