Loading [a11y]/accessibility-menu.js

Zhien Zhu - 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

Institutional Sign In

Institutional Sign In

ADVANCED SEARCH

Author details

Zhien Zhu

Also published under: Zhi-En Zhu, Z. E. Zhu

Publications

24

Citations

29

Publications by Year

20092024

Co-Authors:

Zhenlian AnFanyi CaiZhiyu CaoLongxiao ChenKai Gao

Show All Co-Authors (41)

Zhien Zhu

Also published under: Zhi-En Zhu, Z. E. Zhu

Affiliation

NARI TECHNOLOGY CO.

LTD

Nanjing, China

Publication Topics

Breakdown Strength,
Cable System,
Charge Accumulation,
DC Voltage,
Field Strength,
Space Charge,
Ac Side,
Account In The Evaluation,
Accurate Identification,
Addition Of Fillers,
Alternating Current,
Approximate Formula

Biography

Zhien Zhu was born in 1983 in Hunan, China. He obtained the B. Sc. degree in physics from Xiangtan University in 2006. In 2006, he enter Tongji University and got the Ph. D. degree in condensed matter physics in 2011. He has publish over 10 papers in journals and conference proceedings. Currently, he works in NARI Group Corporation (State Grid Electric Power Research Institute) and his research interests focus on the development of DC cable system.(Based on document published on 5 December 2018).

Publications

24

Citations

29

Publications by Year

20092024

Co-Authors:

Zhenlian An
Fanyi Cai
Zhiyu Cao
Longxiao Chen
Kai Gao

Show All Co-Authors (41)

Author's Published Works

Search History

Showing 1-6 of 6 results

Journals (4)

Conferences (2)

Sort

Filter Results

Show

Open Access Only

Range
Single Year
Shubin Li(5)
Tao Wang(4)
Jing Zhang(3)
Keyu Xu(2)
Xiaohua Wang(1)
Department of Traffic Management Engineering, Shandong Police College, Jinan, China(3)
Department of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China(3)
School of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao, China(2)
Public Security Department, Shandong Police College, Jinan, China(2)
Department of Automation and Electronic Engineering, School of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao, China(1)
IEEE Access(3)
2015 International Conference on Transportation Information and Safety (ICTIS)(1)
2020 Chinese Control And Decision Conference (CCDC)(1)
IEEE Transactions on Intelligent Transportation Systems(1)
IEEE(6)
Hefei, China(1)
Wuhan, China(1)
Traffic Congestion(5)
Traffic Flow(4)
Traffic Model(4)
Traffic Conditions(3)
Traffic System(3)

Select All on Page

Sort By

Results

Two-Lane Lattice Hydrodynamic Modeling at Sag Sections With the Empirical Lane-Changing Rate

Bo Meng;Jing Yuan;Shubin Li

Year: 2023 | Volume: 11 | Journal Article |

HTML

Sag sections are freeway sections where the gradient varies significantly from top to bottom. Due to their special geometric characteristics, sag sections are often bottlenecks in motorway networks. However, we are still unclear about the underlying mechanisms of traffic congestion in the two-lane sag sections. Based on the actual lane change experience, a two-lane lattice traffic flow model at th...Show More

Two-Lane Lattice Hydrodynamic Modeling at Sag Sections With the Empirical Lane-Changing Rate

Bo Meng;Jing Yuan;Shubin Li

Year: 2023 | Volume: 11 | Journal Article |

Boarding Time Estimation Using the Passenger Density Distribution on the Bus

Tao Wang;Keyu Xu;Junfang Tian;Jing Zhang;Ziyou Gao;Shubin Li

IEEE Transactions on Intelligent Transportation Systems

Year: 2022 | Volume: 23, Issue: 8 | Journal Article |

Cited by: Papers (3)

HTML

Accurate predictions of bus service time are a prerequisite to improve the efficiency of bus transit. Field observations identified the degree of passenger crowding on the bus as one of the primary causes for the unpredictability of passengers’ average boarding time (ABT). Consequently, the internal areas of buses were divided for the first time to assess the impact of the passenger density distri...Show More

Boarding Time Estimation Using the Passenger Density Distribution on the Bus

Tao Wang;Keyu Xu;Junfang Tian;Jing Zhang;Ziyou Gao;Shubin Li

IEEE Transactions on Intelligent Transportation Systems

Year: 2022 | Volume: 23, Issue: 8 | Journal Article |

Coordination Optimization of VSL Strategy on Urban Expressway and Main Road Intersection Signal

Shubin Li;Tao Wang;Hualing Ren;Xiangke Kong;Xiaohua Wang

Year: 2020 | Volume: 8 | Journal Article |

Cited by: Papers (3)

HTML

With the rapid urbanization during the past three decades in China, the urban expressway network has arisen with large numbers in many cities. However, the traffic conditions are becoming worse and worse. One of the main reasons is that the connected sections of main road and expressway do not have a coordination by the intersection signal and variable speed limits (VSL) on expressway. In this pap...Show More

Coordination Optimization of VSL Strategy on Urban Expressway and Main Road Intersection Signal

Shubin Li;Tao Wang;Hualing Ren;Xiangke Kong;Xiaohua Wang

Year: 2020 | Volume: 8 | Journal Article |

Modeling and Simulation the Influence of Passengers Distribution in the Bus on Boarding Time

Keyu Xu;Jing Zhang;Tao Wang;Shubin Li

2020 Chinese Control And Decision Conference (CCDC)

Year: 2020 | Conference Paper |

HTML

Scholars from various countries have done a lot of research on predicting the dwell time of buses at stations, however, the passenger boarding time is hard to accurately predicted. Through field investigation, we found that passenger boarding time is not only influenced by external facilities, but also closely related to the number and distribution of passengers on the bus. Therefore, this article...Show More

Modeling and Simulation the Influence of Passengers Distribution in the Bus on Boarding Time

Keyu Xu;Jing Zhang;Tao Wang;Shubin Li

2020 Chinese Control And Decision Conference (CCDC)

Year: 2020 | Conference Paper |

Analysis of Information Reliability on Dynamics of Connected Vehicles

Tao Wang;Jing Zhang;Shubin Li

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (7)

HTML

The emergence of connected and automated vehicles technology is beneficial in the enhancement of traffic flow performance, in particular, traffic stream stability and roadway capacity. However, the reliability of the shared information among vehicles is usually negligible in the existing systems. In this paper, a stochastic traffic flow model was developed under connected environment to reveal the...Show More

Analysis of Information Reliability on Dynamics of Connected Vehicles

Tao Wang;Jing Zhang;Shubin Li

Year: 2019 | Volume: 7 | Journal Article |

Dynamic variable speed limit strategies based on traffic flow model for urban expressway

Shu-bin Li;Bai-bai Fu;Wen-xiu Dang

2015 International Conference on Transportation Information and Safety (ICTIS)

Year: 2015 | Conference Paper |

Cited by: Papers (1)

HTML

The urban expressway network is an important part of the urban transport system which carries huge traffic pressure. It is also the key to the efficiency of the urban transport system. In this paper, the mesoscopic traffic flow models are improved by integrated with variable speed limits strategy to simulate the dynamic of vehicles on urban expressway network. The models include static queuing mod...Show More

Dynamic variable speed limit strategies based on traffic flow model for urban expressway

Shu-bin Li;Bai-bai Fu;Wen-xiu Dang

2015 International Conference on Transportation Information and Safety (ICTIS)

Year: 2015 | 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.