Dataset for Dispatching Model in Online Taxi System by Using Stable Marriage and First Price Sealed Bid Auction Models (doi:10.34820/FK2/QBTMWU)

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Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Dataset for Dispatching Model in Online Taxi System by Using Stable Marriage and First Price Sealed Bid Auction Models

Identification Number:

doi:10.34820/FK2/QBTMWU

Distributor:

Telkom University Dataverse

Date of Distribution:

2022-09-26

Version:

1

Bibliographic Citation:

DARU KUSUMA, PURBA, 2022, "Dataset for Dispatching Model in Online Taxi System by Using Stable Marriage and First Price Sealed Bid Auction Models", https://doi.org/10.34820/FK2/QBTMWU, Telkom University Dataverse, V1

Study Description

Citation

Title:

Dataset for Dispatching Model in Online Taxi System by Using Stable Marriage and First Price Sealed Bid Auction Models

Identification Number:

doi:10.34820/FK2/QBTMWU

Authoring Entity:

DARU KUSUMA, PURBA (fakultas teknik elektro - rekayasa komputer)

Distributor:

Telkom University Dataverse

Access Authority:

DARU KUSUMA, PURBA

Depositor:

DARU KUSUMA, PURBA

Date of Deposit:

2022-09-26

Study Scope

Keywords:

Engineering, optimization

Abstract:

This dataset is dataset for research regarding the dispatching model of the online taxi system.

Notes:

There are two datasets: the vehicle and customer. Vehicle data consists of 5 fields: x coordinate, y coordinate, vehicle's score, reservation price, and target point. Customer data consists of 5 fields: x pickup coordinate, y pickup coordinate, customer's score, x destination coordinate, y destination coordinate.

Methodology and Processing

Sources Statement

Data Access

Notes:

CC0 Waiver

Other Study Description Materials

Related Publications

Citation

Bibliographic Citation:

P. D. Kusuma and M. Kallista, Dispatching Model in Online Taxi System by Using Stable Marriage and First Price Sealed Bid Auction Models, International Journal of Intelligent Engineering and Systems, 14(5), 2021

Other Study-Related Materials

Label:

tabeldatataksicustomer.sql

Text:

customer dataset

Notes:

application/x-sql

Other Study-Related Materials

Label:

tabeldatataksivehicle.sql

Text:

vehicle dataset

Notes:

application/x-sql