18 citations · 20 across the 5 of their papers we have counts for
5 papers
Hidden high-risky states identification from routine urban traffic
Shiyan Liu, Mingyang Bai, Shengmin Guo +4
One of the core risk management tasks is to identify hidden high-risky states that may lead to system breakdown, which can provide valuable early warning knowledge. However, due to…
Switch between critical percolation modes in city traffic dynamics
Guanwen Zeng, Daqing Li, Shengmin Guo +4
Percolation transition is widely observed in networks ranging from biology to engineering. While much attention has been paid to network topologies, studies rarely focus on critica…
Spatio-temporal propagation of traffic jams in urban traffic networks
Yinan Jiang, Rui Kang, Daqing Li +2
Since the first reported traffic jam about a century ago, traffic congestion has been intensively studied with various methods ranging from macroscopic to microscopic viewpoint. Ho…
Traffic incident analysis on urban arterials using ESE: A method for moderate length of time window
Zhen-zhen Yang, Liang Gao, Zi-you Gao +2
Moderate length of time window can get the best accurate result in detecting the key incident time using extended spectral envelope. This paper presents a method to calculate the m…
Traffic Incident Analysis on Urban Arterials Using Extended Spectral Envelope Method
Zhen-zhen Yang, Liang Gao, Zi-you Gao +2
A traffic incident analysis method based on extended spectral envelope (ESE) method is presented to detect the key incident time. Sensitivity analysis of parameters (the length of…