Smart City Gnosys
Smart city article details
| Title | A Design And Development Of Crowdsourcing Systems In Smart Cites |
|---|---|
| ID_Doc | 1428 |
| Authors | Luo Y. |
| Year | 2024 |
| Published | ACM International Conference Proceeding Series |
| DOI | http://dx.doi.org/10.1145/3697355.3697393 |
| Abstract | Nowadays, smart cities are developing rapidly. Through intelligent and digital transformation of cities, the level of urban governance and service has been improved. As a result, people’s living resources have greatly increased, and various services need to be further optimized to improve management and service standards. Crowdsourcing systems are widely applied in various fields of society, aiming to utilize the collective intelligence and distributed labor of a large number of individuals or organizations to jointly solve problems or complete tasks. The crowdsourcing system of the Internet of Things needs to be optimized and developed to improve resident satisfaction, such as the introduction of new algorithms to improve service quality for services such as taxi and takeout. The travel system introduced in this article provides drivers with a predicted distribution map of users to wait in advance. Users actively choose service providers to reduce waiting time, achieve regional coverage balance, and improve user satisfaction. The travel management system has three roles: driver, regular user, and administrator. Drivers can view the predicted distribution map of user historical order generation in the system, modify their location and status, and receive new order reminders in the system; Users can choose a location to initiate an order, select drivers based on the latitude and longitude distribution map provided by the system, and rate their satisfaction after the order is completed; Administrators can add, delete, modify, and check all tables and information. © 2024 Copyright held by the owner/author(s). |
| Author Keywords | Crowdsourcing; Random Forest Algorithm; Smart City; User Satisfaction |
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