Kim et al., 2021 - Google Patents
Research Article A Study on Travel Time Estimation of Diverging Traffic Stream on Highways Based on Timestamp DataKim et al., 2021
View PDF- Document ID
- 2513398890351369446
- Author
- Kim S
- Yu H
- Yeo H
- Publication year
External Links
Snippet
Travel time is valuable information for both drivers and traffic managers. While properly estimating the travel time of a single road section, an issue arises when multiple traffic streams exist. In highways, this usually occurs at the upstream of diverge bottleneck. e aim of …
- 238000011160 research 0 title description 8
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
- G01C21/26—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
- G01C21/28—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network with correlation of data from several navigational instruments
- G01C21/30—Map- or contour-matching
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
- G01C21/26—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3492—Special cost functions, i.e. other than distance or default speed limit of road segments employing speed data or traffic data, e.g. real-time or historical
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Electro-optical investigation, e.g. flow cytometers
- G01N15/1456—Electro-optical investigation, e.g. flow cytometers without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals
- G01N15/1459—Electro-optical investigation, e.g. flow cytometers without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals the analysis being performed on a sample stream
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/66—Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant
- G01S13/72—Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar
- G01S13/723—Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar by using numerical data
- G01S13/726—Multiple target tracking
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Wibisono et al. | Traffic big data prediction and visualization using fast incremental model trees-drift detection (FIMT-DD) | |
Yang et al. | Use of ubiquitous probe vehicle data for identifying secondary crashes | |
CN109697221A (en) | Method for digging, device, storage medium and the electronic equipment of track rule | |
Sharmila et al. | SVM‐based hybrid approach for corridor‐level travel‐time estimation | |
Zhang et al. | A Gaussian kernel-based approach for modeling vehicle headway distributions | |
Grumert et al. | Using connected vehicles in a variable speed limit system | |
CN116597649B (en) | Road network traffic flow deduction method based on expressway charging system | |
Kalair et al. | Dynamic and interpretable hazard-based models of traffic incident durations | |
CN117251722A (en) | Intelligent traffic management system based on big data | |
Liu et al. | Developments and applications of simulation-based online travel time prediction system: traveling to Ocean City, Maryland | |
Kim et al. | A study on travel time estimation of diverging traffic stream on highways based on timestamp data | |
Nguyen et al. | An automated detection framework for multiple highway bottleneck activations | |
Jintanakul et al. | Bayesian mixture model for estimating freeway travel time distributions from small probe samples from multiple days | |
Qin et al. | Spatiotemporal K-Nearest Neighbors Algorithm and Bayesian Approach for Estimating Urban Link Travel Time Distribution From Sparse GPS Trajectories | |
CN113724497A (en) | Method and device for predicting real-time traffic flow of target road | |
CN110264725B (en) | Method and device for determining road section flow | |
Kim et al. | Research Article A Study on Travel Time Estimation of Diverging Traffic Stream on Highways Based on Timestamp Data | |
CN116989801A (en) | Map matching method and device for low-frequency long tracks of complex road network | |
Cao et al. | Tracking the source of congestion based on a probabilistic Sensor Flow Assignment Model | |
Cetin et al. | Using probe vehicle trajectories in stop-and-go waves for inferring unobserved vehicles | |
Abbas et al. | Evaluation of the use of streaming graph processing algorithms for road congestion detection | |
Chen et al. | Automatic freeway bottleneck identification and visualization using image processing techniques | |
Davis et al. | Moving array traffic probes | |
Hussain et al. | Visualizing Impact of Weather on Traffic Congestion Prediction: A Quantitative Study | |
Sattar et al. | Probabilistic-based crowdsourcing technique for road surface anomaly detection |