[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Kim et al., 2021 - Google Patents

A study on travel time estimation of diverging traffic stream on highways based on timestamp data

Kim et al., 2021

View PDF @Full View
Document ID
4908944183504083693
Author
Kim S
Yu H
Yeo H
Publication year
Publication venue
Journal of Advanced Transportation

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. The …
Continue reading at onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • 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
    • 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
    • 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
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups

Similar Documents

Publication Publication Date Title
He et al. Mapping to cells: A simple method to extract traffic dynamics from probe vehicle data
Wibisono et al. Traffic big data prediction and visualization using fast incremental model trees-drift detection (FIMT-DD)
CN109697221A (en) Method for digging, device, storage medium and the electronic equipment of track rule
Van Winden et al. Automatic update of road attributes by mining GPS tracks
Sharmila et al. SVM‐based hybrid approach for corridor‐level travel‐time estimation
Li Application of finite mixture of logistic regression for heterogeneous merging behavior analysis
Zhou Comparative study of approaches to delineating built‐up areas using road network data
US20210020036A1 (en) Predicting short-term traffic flow congestion on urban motorway networks
Li et al. Empirical study of travel time estimation and reliability
Edara et al. Analytical methods for deriving work zone capacities from field data
Kalair et al. Dynamic and interpretable hazard-based models of traffic incident durations
Moghaddam et al. Real-time prediction of arterial roadway travel times using data collected by bluetooth detectors
Nasrollahzadeh et al. Identifying factors associated with roadside work zone collisions using machine learning techniques
Evans et al. Evolution and future of urban road incident detection algorithms
Rizvi et al. Real‐Time Incident Detection and Capacity Estimation Using Loop Detector Data
Abdel-Aty et al. Real-time big data analytics and proactive traffic safety management visualization system
Kim et al. A study on travel time estimation of diverging traffic stream on highways based on timestamp data
Wei et al. Queue length estimation for signalized intersections under partially connected vehicle environment
Hale et al. Evaluation of data‐driven performance measures for comparing and ranking traffic bottlenecks
Van Erp et al. Macroscopic Traffic State Estimation: Understanding Traffic Sensing Data‐Based Estimation Errors
Mohammadi et al. Probabilistic prediction of trip travel time and its variability using hierarchical Bayesian learning
Cao et al. Tracking the source of congestion based on a probabilistic Sensor Flow Assignment Model
Prabha et al. A comprehensive insight towards pre-processing methodologies applied on GPS data
Wang et al. Traffic Risk Assessment Based on Warning Data
Kim et al. Research Article A Study on Travel Time Estimation of Diverging Traffic Stream on Highways Based on Timestamp Data