Comi et al., 2017 - Google Patents
A new generation of individual real-time transit information systemsComi et al., 2017
- Document ID
- 5814312774446776780
- Author
- Comi A
- Nuzzolo A
- Crisalli U
- Rosati L
- et al.
- Publication year
- Publication venue
- Modelling intelligent multi-modal transit systems
External Links
Snippet
ABSTRACT A new generation of transit trip planners, most of which are currently at the prototype phase, is being developed to overcome some of the current limits of such tools, aiming to meet the new requirements of multi-modal transit networks, to benefit from new …
- 230000000694 effects 0 abstract description 2
Classifications
-
- 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
- G06Q10/0639—Performance 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
- 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
- G06Q30/0202—Market predictions or demand forecasting
- G06Q30/0204—Market segmentation
- G06Q30/0205—Location or geographical consideration
-
- 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
- G01C21/26—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
- 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
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- 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
- 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
- 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
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Nuzzolo et al. | Advanced public transport and intelligent transport systems: new modelling challenges | |
Chakour et al. | Analyzing commuter train user behavior: a decision framework for access mode and station choice | |
Navidi et al. | Comparison between ad-hoc demand responsive and conventional transit: a simulation study | |
Di et al. | Indifference bands for boundedly rational route switching | |
Comi et al. | A new generation of individual real-time transit information systems | |
Gentile et al. | The theory of transit assignment: basic modelling frameworks | |
Tavassoli et al. | Calibrating a transit assignment model using smart card data in a large-scale multi-modal transit network | |
Jelokhani-Niaraki et al. | A hybrid ridesharing algorithm based on GIS and ant colony optimization through geosocial networks | |
Jung et al. | Assessment of the transit ridership prediction errors using AVL/APC data | |
Lawson et al. | Forecasting bus ridership using a “Blended Approach” | |
Daduna | Evolution of public transport in rural areas-new technologies and digitization | |
Xu et al. | Online route choice modeling for mobility-as-a-service networks with non-separable, congestible link capacity effects | |
Chmielewski et al. | Analysis of selected types of transport behaviour of urban and rural population in the light of surveys | |
Nuzzolo et al. | An advanced traveller advisory tool based on individual preferences | |
Hariz et al. | Mobility traffic model based on combination of multiple transportation forms in the smart city | |
Montero et al. | Using GPS tracking data to validate route choice in OD trips within dense urban networks | |
Nuzzolo et al. | Real-time modelling of normative travel strategies on unreliable dynamic transit networks: a framework analysis | |
Khan | Modelling and Microsimulation of Activity Generation, Activity Scheduling and Mobility Assignment | |
Nuzzolo et al. | A New Generation of Individual Real-time Transit Information Systems | |
Kulpa et al. | Development of the transport model for the Masovian Voivodeship | |
Nuzzolo et al. | A new Advanced Traveler Advisory Tool based on personal user preferences | |
Prédhumeau et al. | Agent-based modelling of older adult needs for autonomous mobility-on-demand: a case study in Winnipeg, Canada | |
Gkartzonikas | A Stated Preference Study for Assessing Public Acceptance Towards Autonomous Vehicles | |
Ziemke | Demand generation for multi-agent transport simulations based on an econometric travel behavior model and a traffic-count-based calibration algorithm | |
Rasca et al. | Agent-based decision-support model for bus route redesign in networks of small cities and towns: case study of Agder, Norway |