Heng Wei

Dr. Heng Wei

Department of Civil and Architectural Engineering and Construction Management, University of Cincinnati, Cincinnati, OH, USA

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2015 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
CCCong Chen
Cong Chen
GZGuohui Zhang
Guohui Zhang
RTRafiqul Tarefder
Rafiqul Tarefder
JMJianming Ma
Jianming Ma
Heng WeiHeng Wei
Heng Wei
HGHongzhi Guan
Hongzhi Guan


1 March 2017 in Transportation Research Part C: Emerging Technologies
Verified
Journal Article
Closed access
HLHao Liu
Hao Liu
Heng WeiHeng Wei
Heng Wei
TZTing Zuo
Ting Zuo
ZLZhixia Li
Zhixia Li
YYY. Jeffrey Yang
Y. Jeffrey Yang

1 September 2016 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
QWQiong Wu
Qiong Wu
GZGuohui Zhang
Guohui Zhang
CCCong Chen
Cong Chen
RTRafiqul Tarefder
Rafiqul Tarefder
Haizhong WangHaizhong Wang
Haizhong Wang
Heng WeiHeng Wei
Heng Wei

1 July 2005 in Journal of Transportation Engineering
Verified
Journal Article
Closed access
Heng WeiHeng Wei
Heng Wei
CFChuen Feng
Chuen Feng
EMEric Meyer
Eric Meyer
JLJoe Lee
Joe Lee
This paper presents a methodology for extracting vehicular trajectory data using a video-capture technique, and describes a computer-based tool, Vehicle Video-Capture Data Collector (VEVID), which was developed to help extract trajectory data from the video. The proposed methodology consists of three basic steps. First, an urban street is videotaped from an elevated position, and distances between reference points are measured and input into the VEVID parameters file. Second, a segment of video is digitized into a Video for Windows (AVI) file at a user-specified frame rate. Third, the AVI file is registered in VEVID, and then, in each frame, the user simply clicks the mouse over a distinguishable point of targeted vehicles. Trajectories are output into a trajectory data file along with speeds, accelerations, and gaps of targeted vehicles. Finally, several types of data extracted from VEVID that are applicable to microscopic traffic simulation modeling on urban street networks are discussed to show the cap...

15 February 2017 in Sustainability
Verified
Journal Article
Open access
PDF file
Yunqiang XueYunqiang Xue
Yunqiang Xue
HGHongzhi Guan
Hongzhi Guan
JCJonathan Corey
Jonathan Corey
Heng WeiHeng Wei
Heng Wei
HYHai Yan
Hai Yan
Releaving traffic congestion by developing public transport as an alternative mode of travel is a common practice all over the world. However, the increasing public transport subsidies have created a financial burden for governments. Encouragingly, private capital supplies an opportunity for public transport in sustainable finance. Previous research mainly focuses on qualitative analysis and money-for-value (MFV) analysis. In this paper, a new investment model is proposed based on the concept ‘passenger value’, and a bi-level programming model (BLPM) is constructed as a quantitative analysis tool. The upper target of BLPM is the total surplus (including the value of time (VOT) of passengers) of the public transport system and the upper constraint is the ticket price. The lower target of BLPM is passenger’s surplus, the lower constraints are service capability and the lowest return rate of the private sector. The public transport of Jinan City, China is taken as a case to quantify the impacts of private capital investment in public transport. Results show that the proposed investment model considering passenger value is superior to the traditional one, and effective private capital investment could increase the total societal benefit of the transportation system. The proposed investment strategy satisfies economic viability and is a financially sustainability strategy. Additionally, travelers should be encouraged to use public transport through improving the service quality and passenger returns. Only in this way can the success rate of the private sector investment in public transport be improved efficiently.