Jiwei Zhang - IEEE Xplore Author Profile

Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Access provided by:

MIT Libraries

Access provided by:

MIT Libraries

ADVANCED SEARCH

Author details

Jiwei Zhang

Publications

1

Citations

1

Publications by Year

20242024

Co-Authors:

Yinchuan CongWei LiangJigang WenKun XieGaogang Xie

Show All Co-Authors (7)

Jiwei Zhang

Affiliation

College of Computer Science and Electronics Engineering

Hunan University

Changsha, China

Joint Laboratory of Supercomputing and Artificial Intelligence Computing Education

Ministry of Education

Changsha, China

Publication Topics

2D Matrix,
Arrival Time,
Batch Normalization Layer,
Bit Error Rate,
CPU Usage,
Compression Algorithm,
Compression Ratio,
Compression Scheme,
Convolutional Block,
Decoding,
Decoding Process,
Easy Deployment

Biography

Jiwei Zhang is currently pursuing the master’s degree with Hunan University, Changsha, China, and also with the Joint Laboratory of Supercomputing and Artificial Intelligence Computing Education of the Ministry of Education, Changsha. His research interests include low-cost network measurement.(Based on document published on 28 May 2024).

Publications

1

Citations

1

Publications by Year

20242024

Co-Authors:

Yinchuan Cong
Wei Liang
Jigang Wen
Kun Xie
Gaogang Xie

Show All Co-Authors (7)

Author's Published Works

Search History

Showing 1-8 of 8 results

Journals (7)

Conferences (1)

Sort

Filter Results

Show

Subscribed Content

Open Access Only

Range
Single Year
Ana Belén Rodríguez González(7)
Juan José Vinagre Díaz(7)
Mark Richard Wilby(6)
Rubén Fernández Pozo(3)
Oliva Garcia Cantú-Ros(1)
Department of Mathematics Applied to Information and Communication Technologies, Universidad Politécnica de Madrid, Madrid, Spain(5)
Department of Automation, Polytechnic School, University of Alcalá, Alcalá de Henares, Spain(1)
NOMMON, Pl. Carlos Trías Bertrán, Madrid, Spain(1)
Department of Applied Mathematics for Information Technology, Higher Technical School of Telecommunication Engineering, Polytechnic University of Madrid, Madrid, Spain(1)
Department of Signal Processing and Communications, Rey Juan Carlos University, Fuenlabrada, Spain(1)
IEEE Transactions on Intelligent Transportation Systems(6)
2006 3rd International Symposium on Wireless Communication Systems(1)
IEEE Transactions on Big Data(1)
IEEE(8)
Valencia, Spain(1)
Traffic Conditions(3)
Coverage Area(2)
Land Use(2)
License Plate Recognition(2)
Monthly Data(2)

Select All on Page

Sort By

Results

Using App Usage Data From Mobile Devices to Improve Activity-Based Travel Demand Models

Ana Belén Rodríguez González;Javier Burrieza-Galán;Juan José Vinagre Díaz;Inés Peirats de Castro;Mark Richard Wilby;Oliva Garcia Cantú-Ros

IEEE Transactions on Big Data

Year: 2024 | Volume: 10, Issue: 5 | Journal Article |

Cited by: Papers (1)

HTML

In the last years we have seen several studies showing the potential of mobile network data to reconstruct activity and mobility patterns of the population. These data sources allow continuous monitoring of the population with a higher degree of spatial and temporal resolution and at a lower cost compared with traditional methods. However, for certain applications, the spatial resolution of these ...Show More

Using App Usage Data From Mobile Devices to Improve Activity-Based Travel Demand Models

Ana Belén Rodríguez González;Javier Burrieza-Galán;Juan José Vinagre Díaz;Inés Peirats de Castro;Mark Richard Wilby;Oliva Garcia Cantú-Ros

IEEE Transactions on Big Data

Year: 2024 | Volume: 10, Issue: 5 | Journal Article |

Time-Based Utilization Rate of the Fleet: Measuring Deep Inefficiencies in E-Scooter Services in Atlanta and Rome

Juan José Vinagre Díaz;Rubén Fernández Pozo;Ana Belén Rodríguez González;Mark Richard Wilby

IEEE Transactions on Intelligent Transportation Systems

Year: 2024 | Volume: 25, Issue: 6 | Journal Article |

HTML

E-scooter services have been deployed in cities worldwide, as a clean, flexible, and enjoyable mobility mode that contribute to reaching sustainable objectives. Given its recent advent, we still need to understand its actual operation and efficiency, and the corresponding result from users. This work contributes to this aim, providing a novel metric, the time-based utilization rate of the fleet, t...Show More

Time-Based Utilization Rate of the Fleet: Measuring Deep Inefficiencies in E-Scooter Services in Atlanta and Rome

Juan José Vinagre Díaz;Rubén Fernández Pozo;Ana Belén Rodríguez González;Mark Richard Wilby

IEEE Transactions on Intelligent Transportation Systems

Year: 2024 | Volume: 25, Issue: 6 | Journal Article |

Prediction of On-Street Parking Level of Service Based on Random Undersampling Decision Trees

Rubén Fernández Pozo;Ana Belén Rodríguez González;Mark Richard Wilby;Juan José Vinagre Díaz;Miguel Viana Matesanz

IEEE Transactions on Intelligent Transportation Systems

Year: 2022 | Volume: 23, Issue: 7 | Journal Article |

Cited by: Papers (8)

HTML

Effective on-street parking is key to reduce urban traffic and pollution in densely populated cities. Thus, researchers have focused on forecasting future occupancy values depending on factors like time, space, or weather. This approach shows high average performances, but fails in predicting congested scenarios, actually the most critical. This work proposes a data-driven parking level of service...Show More

Prediction of On-Street Parking Level of Service Based on Random Undersampling Decision Trees

Rubén Fernández Pozo;Ana Belén Rodríguez González;Mark Richard Wilby;Juan José Vinagre Díaz;Miguel Viana Matesanz

IEEE Transactions on Intelligent Transportation Systems

Year: 2022 | Volume: 23, Issue: 7 | Journal Article |

Short-Term Prediction of Level of Service in Highways Based on Bluetooth Identification

Mark Richard Wilby;Ana Belén Rodríguez González;Rubén Fernández Pozo;Juan José Vinagre Díaz

IEEE Transactions on Intelligent Transportation Systems

Year: 2022 | Volume: 23, Issue: 1 | Journal Article |

Cited by: Papers (7)

HTML

A precise knowledge about future traffic will eventually open a new era in traffic management. Research has focused on the still unresolved problem of predicting travel time (TT). However, practitioners favor the level of service (LOS) as a meaningful metric that avoids the continuous fluctuations and link-specificity of TT. Evolving from TT to LOS opens a new research line in the field, moving th...Show More

Short-Term Prediction of Level of Service in Highways Based on Bluetooth Identification

Mark Richard Wilby;Ana Belén Rodríguez González;Rubén Fernández Pozo;Juan José Vinagre Díaz

IEEE Transactions on Intelligent Transportation Systems

Year: 2022 | Volume: 23, Issue: 1 | Journal Article |

Bluetooth Traffic Monitoring Systems for Travel Time Estimation on Freeways

Juan José Vinagre Díaz;Ana Belén Rodríguez González;Mark Richard Wilby

IEEE Transactions on Intelligent Transportation Systems

Year: 2016 | Volume: 17, Issue: 1 | Journal Article |

Cited by: Papers (28)

HTML

A Bluetooth traffic monitoring system (BTMS) is capable of identifying vehicles and estimate their travel time (TT) in a route. This information is key for intelligent transportation systems. Although BTMSs are currently deployed in several cities throughout the world, there is no formal methodology for the TT estimation they generate. In this paper, we first analyze the specific features of the B...Show More

Bluetooth Traffic Monitoring Systems for Travel Time Estimation on Freeways

Juan José Vinagre Díaz;Ana Belén Rodríguez González;Mark Richard Wilby

IEEE Transactions on Intelligent Transportation Systems

Year: 2016 | Volume: 17, Issue: 1 | Journal Article |

Modeling and Detecting Aggressiveness From Driving Signals

Ana Belén Rodríguez González;Mark Richard Wilby;Juan José Vinagre Díaz;Carmen Sánchez Ávila

IEEE Transactions on Intelligent Transportation Systems

Year: 2014 | Volume: 15, Issue: 4 | Journal Article |

Cited by: Papers (58)

HTML

The development of advanced driver assistance systems (ADASs) will be a crucial element in the construction of future intelligent transportation systems with the objective of reducing the number of traffic accidents and their subsequent fatalities. Specifically, driving behaviors could be monitored online to determine the crash risk and provide warning information to the driver via their ADAS. In ...Show More

Modeling and Detecting Aggressiveness From Driving Signals

Ana Belén Rodríguez González;Mark Richard Wilby;Juan José Vinagre Díaz;Carmen Sánchez Ávila

IEEE Transactions on Intelligent Transportation Systems

Year: 2014 | Volume: 15, Issue: 4 | Journal Article |

Extended Floating Car Data System: Experimental Results and Application for a Hybrid Route Level of Service

Juan José Vinagre Díaz;David Fernandez Llorca;Ana Belén Rodríguez González;Raúl Quintero Minguez;Ángel Llamazares Llamazares;Miguel Ángel Sotelo

IEEE Transactions on Intelligent Transportation Systems

Year: 2012 | Volume: 13, Issue: 1 | Journal Article |

Cited by: Papers (17) | Patents (1)

HTML

This paper presents the results of a set of extensive experiments carried out under both daytime and nighttime real traffic conditions. The data were captured using an enhanced or extended Floating Car Data system (xFCD) that includes a stereo vision sensor for detecting the local traffic ahead. The collected information is then used to propose a novel approach to the level-of-service (LOS) calcul...Show More

Extended Floating Car Data System: Experimental Results and Application for a Hybrid Route Level of Service

Juan José Vinagre Díaz;David Fernandez Llorca;Ana Belén Rodríguez González;Raúl Quintero Minguez;Ángel Llamazares Llamazares;Miguel Ángel Sotelo

IEEE Transactions on Intelligent Transportation Systems

Year: 2012 | Volume: 13, Issue: 1 | Journal Article |

A Bayesian Decision Model for Intelligent Routing in Sensor Networks

Rocio Arroyo-Valles;Antonio G. Marques;Juan Jose Vinagre-Diaz;Jesus Cid-Sueiro

2006 3rd International Symposium on Wireless Communication Systems

Year: 2006 | Conference Paper |

Cited by: Papers (10)

HTML

In this paper we propose an efficient energy-aware routing algorithm based on learning patterns. Energy and message importance are considered in a Bayesian model in order to establish intelligent decision rules that make the network economize in crucial resources.Show More

A Bayesian Decision Model for Intelligent Routing in Sensor Networks

Rocio Arroyo-Valles;Antonio G. Marques;Juan Jose Vinagre-Diaz;Jesus Cid-Sueiro

2006 3rd International Symposium on Wireless Communication Systems

Year: 2006 | Conference Paper |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Test Whats new message.