Yuanying Chi
Biographic Data
| ID | 6562847 |
|---|---|
| NAME | Yuanying Chi |
| GIVEN NAMES | Yuanying |
| FAMILY NAME | Chi |
| SIGNATURE | CHI Y |
| AFFILIATIONS | Beijing University of Technology |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Latent Semantic Sequence Coding Applied to Taxi Travel Time Estimation
Taxi travel time estimation based on real-time traffic flow collection in IoT has been well explored; however, it becomes a challenge to use the limited taxi data to estimate the travel time. Most of the existing methods in this scenario rely on shallow feature engineering. Nevertheless, they have limited performance in learning complex moving patterns. Thus, a Latent Semantic Pulse Sequence-based Deep Neural Network (LSPS-DNN) is proposed in thi…
Environmental benefits of energy poverty alleviation, renewable resources, and urbanization in North Africa
A Continuous Taxi Pickup Path Recommendation under The Carbon Neutrality Context
In the context of the carbon neutrality target, carbon reduction in the daily operation of the transportation system is more important than that in productive activities. There are few travel services that can quantify low-carbon travel, with a lack of effective low-carbon travel tools to guide transportation behavior. On-demand access to taxi services can effectively reduce the additional carbon emissions caused by cruising, which in turn increa…
A Continuous Taxi Pickup Path Recommendation under The Carbon Neutrality Context
In the context of the carbon neutrality target, carbon reduction in the daily operation of the transportation system is more important than that in productive activities. There are few travel services that can quantify low-carbon travel, with a lack of effective low-carbon travel tools to guide transportation behavior. On-demand access to taxi services can effectively reduce the additional carbon emissions caused by cruising, which in turn increa…
Latent Semantic Sequence Coding Applied to Taxi Travel Time Estimation
Taxi travel time estimation based on real-time traffic flow collection in IoT has been well explored; however, it becomes a challenge to use the limited taxi data to estimate the travel time. Most of the existing methods in this scenario rely on shallow feature engineering. Nevertheless, they have limited performance in learning complex moving patterns. Thus, a Latent Semantic Pulse Sequence-based Deep Neural Network (LSPS-DNN) is proposed in thi…
Environmental benefits of energy poverty alleviation, renewable resources, and urbanization in North Africa
Computer Science (2 works) · Economics (2 works) · Engineering (2 works) · Artificial Intelligence (1 works) · Artificial neural network (1 works) · Business (1 works) · Carbon neutrality (1 works) · Computer network (1 works) · Data mining (1 works) · Deep learning (1 works)