Liu, 2017 - Google Patents
Capturing and Analyzing Human Driving Behavior to Improve Road Travel ExperienceLiu, 2017
View PDF- Document ID
- 9774816830137024472
- Author
- Liu R
- Publication year
External Links
Snippet
People commute on daily basis and spend a considerable amount of time on road travels. Unfortunately, due to the dense population and concentration of economic activities in metropolitan areas, urban transportation suffers a lot of challenges, eg traffic congestion and …
- 238000000034 method 0 abstract description 75
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
- G01C21/34—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
- 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
- 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
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
-
- 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
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096708—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
-
- 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
- G01C21/20—Instruments for performing navigational calculations
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Indicating individual free spaces in parking areas
- G08G1/145—Indicating individual free spaces in parking areas where the indication depends on the parking areas
- G08G1/147—Indicating individual free spaces in parking areas where the indication depends on the parking areas where the parking area is within an open public zone, e.g. city centre
-
- 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
- G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
-
- 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
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Marra et al. | Developing a passive GPS tracking system to study long-term travel behavior | |
Hofleitner et al. | Arterial travel time forecast with streaming data: A hybrid approach of flow modeling and machine learning | |
Chandra Shit | Crowd intelligence for sustainable futuristic intelligent transportation system: a review | |
Yan et al. | Employing opportunistic charging for electric taxicabs to reduce idle time | |
Liu et al. | Balanced traffic routing: Design, implementation, and evaluation | |
US10373494B1 (en) | Method and apparatus for estimating a parking event based on device signal observations | |
Yarkoni et al. | Quantum shuttle: traffic navigation with quantum computing | |
Zhu et al. | A driving cycle detection approach using map service API | |
Liu et al. | Themis: A participatory navigation system for balanced traffic routing | |
US20210142187A1 (en) | Method, apparatus, and system for providing social networking functions based on joint motion | |
US20210140787A1 (en) | Method, apparatus, and system for detecting and classifying points of interest based on joint motion | |
Zhang et al. | Impacts of urban built environment on empty taxi trips using limited geolocation data | |
US11107175B2 (en) | Method, apparatus, and system for providing ride-sharing functions based on joint motion | |
Chrétien et al. | Using mobile phone data to observe and understand mobility behavior, territories, and transport usage | |
Qian et al. | Exploring the potential role of bikeshare to complement public transit: The case of San Francisco amid the coronavirus crisis | |
Liu et al. | Short-term online taxi-hailing demand prediction based on the multimode traffic data in metro station areas | |
Kyriakou et al. | Analysis of spatiotemporal data to predict traffic conditions aiming at a smart navigation system for sustainable urban mobility | |
Kostakos | Using Bluetooth to capture passenger trips on public transport buses | |
Choi et al. | Real-time prediction of arterial vehicle trajectories: An application to predictive route guidance for an emergency vehicle | |
Shin et al. | Activity-based TOD typology for seoul transit station areas using smart-card data | |
Wilbur et al. | Artificial intelligence for smart transportation | |
Liu | Capturing and Analyzing Human Driving Behavior to Improve Road Travel Experience | |
Guo et al. | Optimal Drive-By Sensing in Urban Road Networks With Large-Scale Ridesourcing Vehicles | |
Seitbekova et al. | The bus arrival time prediction using LSTM neural network and location analysis | |
Rahaman | Context-aware mobility analytics and trip planning |