scholarly journals The Use of Road Microsimulation Software within BIM Environments: A Preliminary Assessment

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Marilisa Botte ◽  
Amedeo Zampi ◽  
Cristina Oreto ◽  
Luca D’Acierno
Keyword(s):  
Traffic Control ◽  
Simulation Software ◽  
Numerical Application ◽  
Control Plan ◽  
Infrastructure Design ◽  
Building Information ◽  
Transportation Theory ◽  
Digital Environments ◽  
Pros And Cons ◽  
Functional Features

The use of Building Information Modelling (BIM) is becoming increasingly adopted worldwide to support the creation and management of digital environments in which physical and functional features of a facility are modelled. Due to its characteristic flexibility and interoperability, it rapidly extends beyond the boundaries of applications for which it was originally conceived, thus being implemented in other contexts such as the infrastructure sector. Indeed, during each phase of the construction process for building a linear infrastructure, a suitable design of a traffic control plan to optimising traffic flows proves crucial, both for drivers and builders. In this context, there arises the need to perform a comprehensive analysis, combining infrastructure design and building issues with transportation theory principles. For this purpose, the paper proposes a comparative analysis of two different approaches relying on BIM-based tools, namely integrated (i.e., BIM environments with an in-built module for transport simulation tasks) and an interfaceable solution (i.e., BIM environments offering a customised interface for external mobility simulation software). Specifically, after an overview of the issues involved, the two solutions analysed are customised according to the software packages adopted, and a numerical application is carried out. The goal of the paper is to perform a preliminary analysis on the potential of such frameworks by means of comparative evaluation aimed at identifying pros and cons of the two approaches, as well as the best field of application, according to the effort required from the designer, the degree of flexibility offered, and the target pursued.

scholarly journals Life Cycle Environmental Assessment of Light Steel Framed Buildings with Cement-Based Walls and Floors

2020 ◽  
Vol 12 (24) ◽  
pp. 10686
Author(s):  
Mona Abouhamad ◽  
Metwally Abu-Hamd
Keyword(s):  
Life Cycle ◽  
Building Materials ◽  
Simulation Software ◽  
Life Cycle Assessment Methodology ◽  
Building Information Model ◽  
Building Information ◽  
Cold Formed Steel ◽  
Environmental Measures ◽  
Materials Used

The objective of this paper is to apply the life cycle assessment methodology to assess the environmental impacts of light steel framed buildings fabricated from cold formed steel (CFS) sections. The assessment covers all phases over the life span of the building from material production, construction, use, and the end of building life, in addition to loads and benefits from reuse/recycling after building disposal. The life cycle inventory and environmental impact indicators are estimated using the Athena Impact Estimator for Buildings. The input data related to the building materials used are extracted from a building information model of the building while the operating energy in the use phase is calculated using an energy simulation software. The Athena Impact Estimator calculates the following mid-point environmental measures: global warming potential (GWP), acidification potential, human health potential, ozone depletion potential, smog potential, eutrophication potential, primary and non-renewable energy (PE) consumption, and fossil fuel consumption. The LCA assessment was applied to a case study of a university building. Results of the case study related to GWP and PE were as follows. The building foundations were responsible for 29% of the embodied GWP and 20% of the embodied PE, while the CFS skeleton was responsible for 30% of the embodied GWP and 49% of the embodied PE. The production stage was responsible for 90% of the embodied GWP and embodied PE. When benefits associated with recycling/reuse were included in the analysis according to Module D of EN 15978, the embodied GWP was reduced by 15.4% while the embodied PE was reduced by 6.22%. Compared with conventional construction systems, the CFS framing systems had much lower embodied GWP and PE.

An Evaluation of Highway Work Zone Impact Factors on Driving Safety Using Complicated Indexes Based on Traffic Simulation System

2013 ◽  
Vol 723 ◽  
pp. 943-950 ◽  
Author(s):  
Jiao Yan ◽  
Chi Zhang ◽  
Meng Hua Ding ◽  
Yi Chang James Tsai
Keyword(s):  
Traffic Control ◽  
Traffic Simulation ◽  
Compliance Rate ◽  
Simulation Software ◽  
Work Zone ◽  
Driving Safety ◽  
Impact Factors ◽  
Speed Limit ◽  
Transition Area ◽  
Control And Management

There are quite a number of complicated factors that can affect driving safety on freeway work zone during reconstruction, for example, traffic volume, driver compliance rate (which means drivers who follow the posted speed limit), slope gradient, HGV rate and so on. This article uses the popular traffic simulation software VISSIM to simulate different situations. The results show that the safety of Upstream Transition Area and the place where speed limit signs locate are the lowest. It is recommended that speed limit signs should not be located that much, and cars and HGVs need to be more careful when merging into the Upstream Transition Area, and lower their speeds if necessary. Most important, compliance rate plays an important role in safety measures, and this provides a solid foundation for traffic control and management.

Impact of Industry 4.0 in Architecture and Cultural Heritage

2020 ◽  
pp. 306-329
Author(s):  
Claudio Mirarchi ◽  
Alberto Pavan ◽  
Beniamino Di Martino ◽  
Antonio Esposito
Keyword(s):  
Machine Learning ◽  
Expert Systems ◽  
Cultural Heritage ◽  
Industry 4.0 ◽  
Data Use ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Information Models ◽  
Building Information ◽  
Digital Environments

Building Information Modelling (BIM) is recognized as the central mean in the digitalization process of the construction sector affecting both the technological and the organizational levels. The use of information models can empower communication capabilities thus addressing one of the main development directions of industry 4.0. However, several issues can be highlighted in the representation of objects through information models especially in the case of existing and/or historical buildings. This chapter proposes an extensive analysis of the use of BIM for existing assets exploring the recent development in the area of machine learning and in the use of ontologies to overcome the existing issues. It will provide a structured presentation of existing works and of perspectives in the use of ontologies, expert systems, and machine learning application in architecture and cultural heritage focusing on communication and data use in digital environments along the industry 4.0 paradigm.

Distributed Intelligence Platform to the Edge Computing

2020 ◽  
pp. 108-130 ◽  
Author(s):  
Xalphonse Inbaraj
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Traffic Control ◽  
Edge Computing ◽  
Connected Vehicle ◽  
Public Cloud ◽  
Distributed Intelligence ◽  
Pros And Cons ◽  
And Performance ◽  
Smart Cars

With the explosion of information, devices, and interactions, cloud design on its own cannot handle the flow of data. While the cloud provides us access to compute, storage, and even connectivity that we can access easily and cost-effectively, these centralized resources can create delays and performance issues for devices and information that are far from a centralized public cloud or information center source. Internet of things-connected devices are a transparent use for edge computing architecture. In this chapter, the author discusses the main differences between edge, fog, and cloud computing; pros and cons; and various applications, namely, smart cars and traffic control in transportation scenario, visual and surveillance security, connected vehicle, and smart ID card.

Optimal Signal Timing of Single Intersection for Traffic Emission Control

2014 ◽  
Vol 587-589 ◽  
pp. 2137-2140
Author(s):  
Xin Li ◽  
Feng Chen
Keyword(s):  
Reinforcement Learning ◽  
Traffic Control ◽  
Learning Algorithm ◽  
Emission Control ◽  
Simulation Software ◽  
Atmospheric Environment ◽  
Traffic Signal Control ◽  
Traffic Emission ◽  
Average Delay ◽  
Control Scheme

Traffic emission is one of the main pollution sources of urban atmospheric environment. Traffic control scheme of intersection has important influence on vehicle emission. Research on low emission traffic signal control scheme has become one of focuses of Intelligent Transportation. Current typical control methods of traffic emission are based on optimizing the average delay and number of stops. However, it is extremely difficult to use mathematical formula to calculate the delay and the number of stops in the presence of initial queue length of intersection. In order to solve this problem, we proposed a traffic emission control algorithm based on reinforcement learning. The simulation experiments were carried out by using the microscopic traffic simulation software. Compared with the Hideki emission control scheme, the experimental results show that the reinforcement learning algorithm is more effective. The average vehicle emissions are reduced by 12.2% for high saturation of the intersection.

scholarly journals Research on IFC- and FDS-Based Information Sharing for Building Fire Safety Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-18 ◽  
Author(s):  
Jianyong Shi ◽  
Jicao Dao ◽  
Liu Jiang ◽  
Zeyu Pan
Keyword(s):  
Information Sharing ◽  
Fire Safety ◽  
Information Integration ◽  
Safety Analysis ◽  
Simulation Software ◽  
Information Modeling ◽  
Fire Simulation ◽  
Fire Dynamics ◽  
Building Fire ◽  
Building Information

With the development of computer processors, vast numerical simulation tools are widely used by fire engineers to determine the spread of fire and smoke. However, the fire modeling practices are often highly time-consuming and cost-intensive especially for building geometry information which does limit the further implementation of building fire safety analysis. Although nowadays building information modeling (BIM) has become a buzzword in the Architecture, Engineering, and Construction (AEC) field to facilitate information integration and interoperability, data sharing and exchange are still weak in the traditional interoperability between BIM applications and fire simulation software, since the data schema of them are totally different. In this paper, a quick and accurate approach for information sharing for building fire safety analysis between mainstream BIM applications and widely used fire simulation software has been successfully implemented, based on Industry Foundation Classes (IFC) and Fire Dynamics Simulator (FDS). And, both geometrical building information and sematic information can be shared by this approach through the transformation of coordinate systems, outer database, and IFC file extension. The BIM model restoring fire simulation results can support other performance-based design of building, such as structural fire-resistant design and evacuation design. And, all of the analysis results including building fire simulation, structure safety design, and evacuation simulation can be integrated in Autodesk Revit, establishing a framework of IFC- and FDS-based information sharing for building fire safety analysis successfully. A gymnasium has been taken as a case study to illustrate the capability of this framework.

scholarly journals A study of best management practices for enhancing productivity in building projects: construction methods perspectives

2016 ◽  
Vol 16 (3) ◽  
pp. 1-19 ◽  
Author(s):  
Argaw Tarekegn Gurmu ◽  
Ajibade Ayodeji Aibinu ◽  
Toong Khuan Chan
Keyword(s):  
Best Practices ◽  
Best Management Practices ◽  
Traffic Control ◽  
Management Practices ◽  
Phase 1 ◽  
Second Phase ◽  
Building Projects ◽  
Control Plan ◽  
Best Management ◽  
Construction Methods

This research investigates management practices that have the potential to enhance productivity in building projects by focusing on construction methods. In phase 1 of the study, face-to-face interviews with nineteen experts were conducted to identify the best management practices for construction methods. The qualitative data analysis reached saturation and resulted in a list of best practices for construction methods that are relevant to the local industry. The second phase used an industry-wide survey to prioritize the best practices. Accordingly, project start-up plan, traffic control plan, machinery positioning strategy, project completion plan, and dynamic site layout plan were shown to be the top five best practices for construction methods. The study also revealed that high levels of implementation of best practices are associated with low levels of project delays. The use of best practices also varied according to the project costs. There were no discernible differences between the top five best practices. The authors suggest that they should be implemented jointly to improve productivity in building projects. Contractors could use the logistic regression model developed, to predict the probability of exceeding a baseline productivity factor and, on that basis, implement corrective actions to achieve the desired level of productivity. 

scholarly journals GIS and BIM as Integrated Digital Environments for Modeling and Monitoring of Historic Buildings

2020 ◽  
Vol 10 (3) ◽  
pp. 1078 ◽  
Author(s):  
Elisavet Tsilimantou ◽  
Ekaterini T. Delegou ◽  
Ioannis A. Nikitakos ◽  
Charalabos Ioannidis ◽  
Antonia Moropoulou
Keyword(s):  
Information System ◽  
Structural Integrity ◽  
Information Modeling ◽  
Historic Building ◽  
Multidisciplinary Data ◽  
Building Information ◽  
Digital Environments ◽  
Quantitative Manner ◽  
3D Information ◽  
2D And 3D

Multidisciplinary data integration within an information system is considered a key point for rehabilitation projects. Information regarding the state of preservation and/or decision making, for sustainable restoration is prerequisite. In addition, achieving structural integrity of a historic building, especially one that has undergone many construction phases and restoration interventions, is a very elaborate task and should, therefore, involve the study of multidisciplinary information regarding historical, architectural, building material and geometric data. In this paper the elaboration of such data within 2D and 3D information systems is described. Through the process described herein, a methodology, including the acquisition, classification and management of various multisensory data, is displayed and applied within a geographic information system (GIS). Moreover, the multidisciplinary documentation process, aggregated with the surveying products, generates 3D heritage building information modeling (HBIM), including information regarding construction phases, pathology and current state of preservation of a building. The assessment of the applied methodology is performed concluding in a qualitative and a quantitative manner, in both 2D and 3D environments, providing information to facilitate the structural assessment of a historic building. Thus, in this work, the described methodology is presented, combining the multidisciplinary data with the development of GIS thematic maps and an HBIM. Representative results of the suggested methodology applied on the historic building of Villa Klonaridi, Athens, Greece are displayed.

scholarly journals A General Maximum Progression Model to Concurrently Synchronize Left-Turn and through Traffic Flows on an Arterial

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Binbin Jing ◽  
Jianmin Xu
Keyword(s):  
Travel Time ◽  
Traffic Control ◽  
General Model ◽  
Delay Time ◽  
Simulation Software ◽  
Traffic Flows ◽  
Average Delay ◽  
Left Turn ◽  
Progression Model ◽  
Time Space

In the existing bandwidth-based methods, through traffic flows are considered as the coordination objects and offered progression bands accordingly. However, at certain times or nodes in the road network, when the left-turn traffic flows have a higher priority than the through traffic flows, it would be inappropriate to still provide the progression bands to the through traffic flows; the left-turn traffic flows should instead be considered as the coordination objects to potentially achieve better control. Considering this, a general maximum progression model to concurrently synchronize left-turn and through traffic flows is established by using a time-space diagram. The general model can deal with all the patterns of the left-turn phases by introducing two new binary variables into the constraints; that is, these variables allow all the patterns of the left-turn phases to deal with a single formulation. By using the measures of effectiveness (average delay time, average vehicle stops, and average travel time) acquired by a traffic simulation software, VISSIM, the validity of the general model is verified. The results show that, compared with the MULTIBAND, the proposed general model can effectively reduce the delay time, vehicle stops, and travel time and, thus, achieve better traffic control.

scholarly journals Pros and Cons of Self Driving Vans - A Real Life Motorway Case Study Analysis from Great Britain

2021 ◽  
Author(s):  
Ramjit Nandakumar
Keyword(s):  
Autonomous Vehicles ◽  
Real Life ◽  
Simulation Software ◽  
Heterogeneous Traffic ◽  
Case Study Analysis ◽  
Levels Of Automation ◽  
Pros And Cons ◽  
Negative Impacts ◽  
Road Characteristics ◽  
Near Future

Abstract Given the speculations that autonomous vehicles are sure to take over the transport sectors in the near future, this study micro-simulates the impacts of automating the vehicle VAN using the micro-simulation software AIMSUN in a hypothetical condition. This study analyses the impacts of automation of vans in different levels of automation penetrations with heterogeneous traffic conditions on traffic parameters such as speed and different environmental factors and should only be considered as a case approach with minimal application in the real-world scenario. In this study, the impacts of automation of van in different road characteristics were also analyzed in detail. The study highlights that with an increase in van automation penetrations, traffic parameters speed is positively impacted while negative impacts on environmental conditions are observed. This is mostly because multiple analysis should have been carried out to have a complete understanding of the network.

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