Javascript must be enabled to continue!
Authors: Yunhui Zeng ; Wenjuan Hu ; Hongfei Guo ; Shiyue Shen ; Li Huang ; Yiying Lou
View through CrossRef
Focused on the lane occupancy phenomenon, this paper analyzes the roads during two different accidents to the evacuation period. Firstly, according to the statistical data, this paper calculated the correction coefficients under the road traffic condition, and then obtained the actual traffic capacity result at each moment of the road when combining the function model of the actual traffic capacity corrected by the running speed and the road traffic condition. Next the actual traffic capacity results are fitted to the Smooth spline interpolation, and then the actual traffic capacity is further verified by the traffic congestion situation. The actual traffic capacity of the road during the accident to evacuation is summarized as follows: the actual traffic capacity shows a nonlinear trend, that is, ascending-attenuating-recovering and gradually stabilizing. Finally, using Mann-Whitney U test to carry out the difference test on the actual traffic capacity, it is found that there is significant difference between the two groups of data, and the actual traffic capacity of the second case is stronger than that of the first one, and the reasons for the difference are analyzed as follows: the ratio of the steering traffic volume at the downstream intersection is different; this road section includes the community intersection and there are vehicles entering and leaving; meanwhile the speed of each lane is different and there are buildings near the lane. The above conclusions will provide theoretical basis for the traffic management department to correctly guide the vehicle driving, approve the road construction, design the road channelization plan, set the roadside parking space and the non-port-type bus stations.
Academic Research Publishing Group (Publications)
Title: Authors: Yunhui Zeng ; Wenjuan Hu ; Hongfei Guo ; Shiyue Shen ; Li Huang ; Yiying Lou
Description:
Focused on the lane occupancy phenomenon, this paper analyzes the roads during two different accidents to the evacuation period.
Firstly, according to the statistical data, this paper calculated the correction coefficients under the road traffic condition, and then obtained the actual traffic capacity result at each moment of the road when combining the function model of the actual traffic capacity corrected by the running speed and the road traffic condition.
Next the actual traffic capacity results are fitted to the Smooth spline interpolation, and then the actual traffic capacity is further verified by the traffic congestion situation.
The actual traffic capacity of the road during the accident to evacuation is summarized as follows: the actual traffic capacity shows a nonlinear trend, that is, ascending-attenuating-recovering and gradually stabilizing.
Finally, using Mann-Whitney U test to carry out the difference test on the actual traffic capacity, it is found that there is significant difference between the two groups of data, and the actual traffic capacity of the second case is stronger than that of the first one, and the reasons for the difference are analyzed as follows: the ratio of the steering traffic volume at the downstream intersection is different; this road section includes the community intersection and there are vehicles entering and leaving; meanwhile the speed of each lane is different and there are buildings near the lane.
The above conclusions will provide theoretical basis for the traffic management department to correctly guide the vehicle driving, approve the road construction, design the road channelization plan, set the roadside parking space and the non-port-type bus stations.
Related Results
In “Lou” of the Lou you know
In “Lou” of the Lou you know
Lou Braida has distinguished himself as a scientist, educator, and, to the dismay of many, critic-par excellence. Others will speak to his wide variety of fundamental contributions...
Conceptual design report of the Super Tau-Charm Facility: the accelerator
Conceptual design report of the Super Tau-Charm Facility: the accelerator
Abstract
Electron–positron colliders operating in the GeV center-of-mass range, or tau-charm energy region, have been proved to enable compet...
First Report of Colletotrichum siamense Causing Leaf Drop and Fruit Spot of Citrus reticulata Blanco cv. Shiyue Ju in China
First Report of Colletotrichum siamense Causing Leaf Drop and Fruit Spot of Citrus reticulata Blanco cv. Shiyue Ju in China
Citrus reticulata Blanco cv. Shiyue Ju, which produces one of China's most popular tropical fruits, is widely planted throughout southern China. In 2008, a new citrus disease was f...
Partial-wave analysis of
J
/
ψ
→
γ
γ
ϕ
Partial-wave analysis of
J
/
ψ
→
γ
γ
ϕ
Using a sample of
∼
10
...
Search for the leptonic decays
D
*
+
→
Search for the leptonic decays
D
*
+
→
We present the first search for the leptonic decays
D
*
...
Search for triple Higgs boson production in the
6b
final state using
pp
collisions at
s=13 TeV
with the ATLAS detector
Search for triple Higgs boson production in the
6b
final state using
pp
collisions at
s=13 TeV
with the ATLAS detector
A search for the production of three Higgs bosons (HHH) in the bb¯bb¯bb¯ final state is presented. The search uses 126 fb−1 of proton-proton collision data at s=13 TeV collected ...
Expected tracking performance of the ATLAS Inner Tracker at the High-Luminosity LHC
Expected tracking performance of the ATLAS Inner Tracker at the High-Luminosity LHC
Abstract
The high-luminosity phase of LHC operations (HL-LHC), will
feature a large increase in simultaneous proton-proton interactions
per bunch crossing up to ...
Configuration, Performance, and Commissioning of the ATLAS b-jet Triggers for the 2022 and 2023 LHC data-taking periods
Configuration, Performance, and Commissioning of the ATLAS b-jet Triggers for the 2022 and 2023 LHC data-taking periods
Abstract
In 2022 and 2023, the Large Hadron Collider produced
approximately two billion hadronic interactions each second from
bunches of protons that collide at...

