Hao Wang

Prof. Dr. Hao Wang

School of Transportation, Southeast University, Nanjing 210096, China
orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

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

Representative Publications

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1 January 2017 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
YLYe Li
Ye Li
Hao WangHao Wang
Hao Wang
WWWei Wang
Wei Wang
LXLu Xing
Lu Xing
SLShanwen Liu
Shanwen Liu
XWXueyan Wei
Xueyan Wei

1 July 2017 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
YLYe Li
Ye Li
ZLZhibin Li
Zhibin Li
Hao WangHao Wang
Hao Wang
WWWei Wang
Wei Wang
LXLu Xing
Lu Xing

1 September 2018 in Transportation Research Part C: Emerging Technologies
Verified
Journal Article
Closed access
RJRui Jiang
Rui Jiang
CJCheng-Jie Jin
Cheng-Jie Jin
HZH.M. Zhang
H.M. Zhang
YHYong-Xian Huang
Yong-Xian Huang
JTJun-Fang Tian
Jun-Fang Tian
BJBin Jia
Bin Jia

1 May 2014 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
HYHao Yu
Hao Yu
PLPan Liu
Pan Liu
JCJun Chen
Jun Chen
Hao WangHao Wang
Hao Wang

1 July 2021 in Transportation Science
Verified
Journal Article
Closed access
Yanyan QinYanyan Qin
Yanyan Qin
Hao WangHao Wang
Hao Wang
DNDaiheng Ni
Daiheng Ni
In the future, road traffic will incorporate a random mix of manual vehicles and cooperative adaptive cruise control (CACC) vehicles, where a CACC vehicle will degrade to an adaptive cruise control (ACC) vehicle when vehicle-to-vehicle communications are not available. This paper proposes a generalized framework of the Lighthill-Whitham-Richards (LWR) model for such mixed vehicular flow under different CACC penetration rates. In this approach, the kinematic wave speed propagating through the mixed platoon was theoretically proven to be the slope of mixed fundamental diagram. In addition, the random degradation from CACC to ACC was captured in mathematical expectation for traffic scenarios where the CACC only monitors one vehicle ahead. Three concrete car-following models, the intelligent driver model (IDM) and CACC/ACC models validated by Partners for Advanced Transit and Highways (PATH) program, were selected as examples to investigate the propagation of small perturbations and shock waves. Numerical simulations were also performed based on the selected car-following models. Moreover, the derived mixed LWR model was applied to solve some traffic flow problems. It indicates that the proposed LWR model is able to describe the propagation properties of both small perturbations and shock waves. The mixed LWR model can also be used to solve some practical problems, such as the queue caused by a traffic accident and the impact of a moving bottleneck. More importantly, the proposed generalized framework admits other CACC/ACC/regular car-following models, including those developed from further experiments.

1 December 2021 in Physica A: Statistical Mechanics and its Applications
Verified
Journal Article
Closed access
KMKe Ma
Ke Ma
Hao WangHao Wang
Hao Wang
TRTiancheng Ruan
Tiancheng Ruan