Huang et al., 2013 - Google Patents
Large scale real-time ridesharing with service guarantee on road networksHuang et al., 2013
View PDF- Document ID
- 17671308943428619632
- Author
- Huang Y
- Jin R
- Bastani F
- Wang X
- Publication year
- Publication venue
- arXiv preprint arXiv:1302.6666
External Links
Snippet
The mean occupancy rates of personal vehicle trips in the United States is only 1.6 persons per vehicle mile. Urban traffic gridlock is a familiar scene. Ridesharing has the potential to solve many environmental, congestion, and energy problems. In this paper, we introduce the …
- 238000004422 calculation algorithm 0 abstract description 74
Classifications
-
- 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
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30533—Other types of queries
-
- 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
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Huang et al. | Large scale real-time ridesharing with service guarantee on road networks | |
CN112016812B (en) | Multi-unmanned aerial vehicle task scheduling method, system and storage medium | |
Jin et al. | Coride: joint order dispatching and fleet management for multi-scale ride-hailing platforms | |
Xu et al. | A hybrid machine learning model for demand prediction of edge-computing-based bike-sharing system using Internet of Things | |
Lawler | A procedure for computing the k best solutions to discrete optimization problems and its application to the shortest path problem | |
Delling et al. | Computing multimodal journeys in practice | |
Tian et al. | Noah: a dynamic ridesharing system | |
Shen et al. | Dynamic ridesharing | |
Jiang et al. | Peak-hour vehicle routing for first-mile transportation: Problem formulation and algorithms | |
Carić et al. | A modelling and optimization framework for real-world vehicle routing problems | |
Tu et al. | A spatial parallel heuristic approach for solving very large‐scale vehicle routing problems | |
Liu et al. | A semantics-based trajectory segmentation simplification method | |
Liu et al. | Recommending a personalized sequence of pick-up points | |
Brandstätter | A metaheuristic algorithm and structured analysis for the line-haul feeder vehicle routing problem with time windows | |
Liu et al. | Heuristic approach for the multiobjective optimization of the customized bus scheduling problem | |
Mahin et al. | Activity-aware ridesharing group trip planning queries for flexible POIs | |
Li et al. | Efficient adaptive matching for real-time city express delivery | |
Javidi et al. | A multi-objective optimization framework for online ridesharing systems | |
CN114253975A (en) | Load-aware road network shortest path distance calculation method and device | |
He et al. | Exploring public transport transfer opportunities for pareto search of multicriteria journeys | |
Lai et al. | Utility-based matching of vehicles and hybrid requests on rider demand responsive systems | |
Cici et al. | SORS: a scalable online ridesharing system | |
Elsayed et al. | Prediction-based cooperative cache discovery in vanets for social networking | |
Liu et al. | Recommending a personalized sequence of pick-up points | |
CN115328210A (en) | Path planning method and device, terminal equipment and storage medium |