scholarly journals Applying Real-Time Travel Times to Estimate Fire Service Coverage Rate for High-Rise Buildings

2020 ◽  
Vol 10 (19) ◽  
pp. 6632
Author(s):  
Dingli Liu ◽  
Zhisheng Xu ◽  
Long Yan ◽  
Feiyue Wang
Keyword(s):  
Real Time ◽  
Fire Service ◽  
Time Travel ◽  
Coverage Rate ◽  
Travel Times ◽  
Estimation Model ◽  
Effective Coverage ◽  
High Rise ◽  
High Rise Building ◽  
Service Coverage

Frequent high-rise building fires have posed serious threats to urban public safety. In this study, real-time travel times extracted from online maps were applied to estimate fire service coverage rates for high-rise buildings. Firstly, the minimum fire apparatus requirement for high-rise building “at least 1 water fire truck and 1 aerial fire truck should arrive at the fire scene of high-rise building within 240 s” was proposed. Then, a dynamic estimation model of fire service coverage rate for high-rise buildings was established. To validate the model, 5146 high-rise buildings, 61 water fire trucks, and 56 aerial fire trucks in Changsha were selected as case studies. The results show that the total effective coverage rate and total average travel time in Changsha are 20.43% and 421.95 s, respectively. There are 10,840 water fire trucks and 6192 aerial fire trucks in China. Based on the average number of water fire trucks and aerial fire trucks per high-rise building, it can be estimated that the total effective coverage rate in China may not exceed 60.00%. Due to limited fire resources and frequent traffic congestion, only partial high-rise buildings can be effectively covered by fire services, whether in Changsha or China.

Estimation of effective coverage rate of fire station services based on real-time travel times

2020 ◽  
pp. 103021 ◽  
Author(s):  
Dingli Liu ◽  
Zhisheng Xu ◽  
Zhengyang Wang ◽  
Yang Zhou ◽  
Chuangang Fan
Keyword(s):  
Real Time ◽  
Time Travel ◽  
Coverage Rate ◽  
Travel Times ◽  
Effective Coverage ◽  
Fire Station

Structural Stability Analysis of High-Rise Building Transfer Beam High-Formwork Supporting System

2012 ◽  
Vol 151 ◽  
pp. 291-294
Author(s):  
Jian Hua Cui ◽  
Ping Liu
Keyword(s):  
Numerical Simulation ◽  
Stability Analysis ◽  
Theoretical Calculation ◽  
Real Time ◽  
Structural Stability ◽  
Real Time Monitoring ◽  
Supporting System ◽  
High Rise ◽  
High Rise Building ◽  
Integral Stability

Based on the construction of the transfer floor of Yunding project in Chengdu, to solve the issues from the integral stability and safety of the transfer beam high-formwork supporting system, the method of the theoretical calculation, the method of the numerical simulation and real-time monitoring were applied in order to make some conclusions. The conclusions will be significance to apply in the future similar projects for reference and guidance.

Development of the Operation Algorithm for a Automated System Assessing the High-Rise Building

2016 ◽  
Vol 251 ◽  
pp. 230-236 ◽  
Author(s):  
Igor Korobiichuk ◽  
Andrii Shostachuk ◽  
Dmytro Shostachuk ◽  
Valentina Shadura ◽  
Michał Nowicki ◽  
...  
Keyword(s):  
Mathematical Models ◽  
Real Time ◽  
Life Support ◽  
Support Systems ◽  
Automated System ◽  
Complex Object ◽  
High Rise ◽  
High Rise Building ◽  
Operation Algorithm ◽  
Functional Areas

This article presents the algorithm of monitoring a high-rise building as a complex object. The functional areas (strata) of a high-rise building are considered and certain mathematical models and algorithms describing the process of monitoring a high-rise building are presented. The developed system using this algorithm should allow real-time monitoring of the life support systems, making better decisions in the event of unusual situations.

scholarly journals Applying Machine Learning and Statistical Approaches for Travel Time Estimation in Partial Network Coverage

2019 ◽  
Vol 11 (14) ◽  
pp. 3822 ◽  
Author(s):  
Fahad Alrukaibi ◽  
Rushdi Alsaleh ◽  
Tarek Sayed
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Statistical Approach ◽  
Penetration Rate ◽  
Time Travel ◽  
Machine Learning Algorithms ◽  
Estimation Accuracy ◽  
Travel Times ◽  
Urban Networks ◽  
The Impact

The objective of this study is to estimate the real time travel times on urban networks that are partially covered by moving sensors. The study proposes two machine learning approaches; the random forest (RF) model and the multi-layer feed forward neural network (MFFN) to estimate travel times on urban networks which are partially covered by moving sensors. A MFFN network with three hidden layers was developed and trained using the back-propagation learning algorithm, and the neural weights were optimized using the Levenberg–Marquardt optimization technique. A case study of an urban network with 100 links is considered in this study. The performance of the proposed models was compared to a statistical model, which uses the empirical Bayes (EB) method and the spatial correlation between travel times. The models’ performances were evaluated using data generated from VISSIM microsimulation model. Results show that the machine learning algorithms, e.g., RF and ANN, achieve average improvements of about 4.1% and 2.9% compared with the statistical approach. The RF, MFFN, and the statistical approach models correctly predict real time travel times with estimation accuracies reaching 90.7%, 89.5%, and 86.6% respectively. Moreover, results show that at low moving sensor penetration rate, the RF and MFFN achieve higher estimation accuracy compared with the statistical approach. At probe penetration rate of 1%, the RF, MFFN, and the statistical approach models correctly predict real time travel times with estimation accuracy of 85.6%, 84.4%, and 80.9% respectively. Furthermore, the study investigated the impact of the probe penetration rate on real time neighbor links coverage. Results show that at probe penetration rates of 1%, 3%, and 5%, the models cover the estimation of real time travel times on 73.8%, 94.8%, and 97.2% of the estimation intervals.

Measurement Analysis of Mechanical Properties of Round-Ended Concrete Filled Steel Tube Coupled Tower Column during Construction Phase

2014 ◽  
Vol 638-640 ◽  
pp. 140-144 ◽  
Author(s):  
Wen Feng Chen ◽  
Bin Li ◽  
Yan Li
Keyword(s):  
Real Time ◽  
Composite Structures ◽  
Design Theory ◽  
Engineering Application ◽  
Steel Tube ◽  
Theoretical Research ◽  
Stress Monitoring ◽  
Concrete Filled Steel Tube ◽  
High Rise ◽  
High Rise Building

Steel-concrete composite structures are widely used in large-span spatial structures, high-rise building, super high-rise building and bridges and so on thanks to its advantages in terms of mechanical and construction properties. And the corresponding design codes on circular, square and polygonal concrete filled steel tube (CFST) have been formed at home and abroad. However, application of round-ended CFST is still very rare in the world and there is no corresponding theoretical research findings and design basis. There is an actual project that a round-ended CFST coupled tower column is applied in Houhu Bridge in Huangpi area, Wuhan city. Real-time stresses of the coupled tower column were monitored throughout construction phase to ensure that the force and linearity of Houhu Bridge can meet its design requirements. In the paper, the real-time stress monitoring data is analyzed so as to find force state and force characteristics of this new structure of round-ended CFST during construction phase. This study provides basic information for further formation of round-ended CFST design theory in future which plays an important role in engineering application of the round-ended CFST.

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