ReduxGO: Context-Aware Mobile Recommender Application for Reducing Stop-and-Go Scenario
There are many technologies and applications available that can be used to assist driver to avoid traffic congestion. However, most of the current applications are emphasizing on giving current updates to drivers to avoid the congested area. Based on prior research, the stop-and-go traffic scenario...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Published: |
IEEE Computer Society
2017
|
| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017245020&doi=10.1109%2fISMS.2016.83&partnerID=40&md5=f7b1c96be60cf5de5eda38e80836a978 http://eprints.utp.edu.my/20117/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | There are many technologies and applications available that can be used to assist driver to avoid traffic congestion. However, most of the current applications are emphasizing on giving current updates to drivers to avoid the congested area. Based on prior research, the stop-and-go traffic scenario is one of the main causes of heavy traffic jams. However, there is no specific application that can assist the driver to reduce the stop-and-go traffic condition. Therefore, we propose a mobile application based on context-aware recommender system to aid driver in deciding the right speed to alleviate the stop-and-go scenario. This paper describes the design and implementation of the mobile application called ReduxGO. We have evaluated the application using Technology Acceptance Model (TAM) and the results yield the users' perceptions towards using the application. © 2016 IEEE. |
|---|