Hu et al., 2012 - Google Patents
Simulation-assignment-based travel time prediction model for traffic corridorsHu et al., 2012
- Document ID
- 806801080533644932
- Author
- Hu T
- Tong C
- Liao T
- Ho W
- Publication year
- Publication venue
- IEEE Transactions on Intelligent Transportation Systems
External Links
Snippet
Travel time prediction in Advanced Traveler Information Systems is an important issue, because travel time is a major factor in motorists' decisions to avoid congestion and incidents. A simulation-assignment-based travel time prediction model for traffic corridors is …
- 230000036962 time dependent 0 abstract description 19
Classifications
-
- 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
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096833—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
- G08G1/096844—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route where the complete route is dynamically recomputed based on new 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
- G01C21/34—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
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
-
- 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
- G06Q10/063—Operations research or analysis
-
- 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"
- G06Q10/047—Optimisation of routes, e.g. "travelling salesman problem"
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Hu et al. | Simulation-assignment-based travel time prediction model for traffic corridors | |
Van Arem et al. | Recent advances and applications in the field of short-term traffic forecasting | |
De Fabritiis et al. | Traffic estimation and prediction based on real time floating car data | |
Park et al. | Intelligent trip modeling for the prediction of an origin–destination traveling speed profile | |
Zhan et al. | Urban link travel time estimation using large-scale taxi data with partial information | |
Wei et al. | Development of freeway travel time forecasting models by integrating different sources of traffic data | |
Shahgholian et al. | Advanced traffic management systems: an overview and a development strategy | |
Oskarbski et al. | Estimating the average speed of public transport vehicles based on traffic control system data | |
Gómez et al. | Evaluation of trade-offs between two data sources for the accurate estimation of origin–destination matrices | |
Rajbhandari | Bus arrival time prediction using stochastic time series and Markov chains | |
Zhao et al. | Truck travel time reliability and prediction in a port drayage network | |
Mehrabani et al. | Development, calibration, and validation of a large-scale traffic simulation model: Belgium road network | |
Wang et al. | Short-term travel time estimation and prediction for long freeway corridor using NN and regression | |
Barceló et al. | Dynamic Traffic Management: A Bird’s Eye View | |
Radu et al. | Digital traveler assistant | |
Cheng et al. | Bus arrival time prediction model based on APC data | |
Oskarbski et al. | Multi-level transport systems model for traffic management activities | |
Gurmu | A dynamic prediction of travel time for transit time for transit vehicles in Brazil using GPS data | |
Izadpanah | Freeway travel time prediction using data from mobile probes | |
Memon et al. | Calibration of a rule-based intelligent network simulation model | |
Van Grol et al. | DACCORD: On-line travel time prediction | |
Laborczi et al. | Optimal route guidance based on floating car data | |
Allström | Highway Traffic State Estimation and Short-term Prediction | |
Muhamad et al. | Utilizing On-Board GPS in City Buses to Determine Traffic Conditions | |
Roocroft | Data-driven national strategic traffic assignment models for road network congestion management |