**1. Introduction**

Smart city is to lead the transformation of urban development with innovation, comprehensively promote the new generation of information and communication technology and the new urbanization development strategy, deeply integrate and improve the modernization level of urban governance capability [1].

A self-respecting smart city cannot ignore serious and far-sighted planning that bases urban landscape design on Geographic Information Systems (GIS) and integrated modeling, which Building Information Modeling (BIM) is able to ensure; this is because only having a clear vision, implemented with a precise planning, of what is going to be built is it possible to avoid the destructive effects that a construction practice without adequate tools can cause. The use of GIS and BIM together therefore allows you to plan, design, build and manage infrastructure resources more efficiently and save time and money.

**236**

*Models and Technologies for Smart, Sustainable and Safe Transportation Systems*

Motaz Khader Temperature and Humidity Sensing Samir Cherian High-

[12] Capita Selecta: Virtual Reality, Sensors in ADAS, 8th Jan, 2007, University of Twent, Martijn Pijpers,

[13] https://support.oxts.com/hc/en-us/ articles/115002772345-RT-Range-

technical-papers/content/2009-01-2911/

[16] Information and communication technologies for safe and intelligent vehicles, Communication from the Commission to the Council and the European Parliament, SEC, 2003) 963

[14] www.sae.org/publications/

[15] https://www.autocarpro.in/ news-international/volkswagen-localhazard- warning-car2x-safety-techwins-euro-ncap-award-55905

Speed Amplifiers

s9709401

Measurements

and

Multisensor Data

**References**

(ARCHi

Reza Sabzevari"


Practice\_ADAS.pdf

[1] https://www.acea.be/uploads/ publications/20090831\_Code\_of\_

[3] Mahdi Rezaei Ghahroudi1

[2] http://www.hitachi-automotive.us/ Products/oem/DCS/ADAS/index.htm

Fusion Strategies for Advanced Driver Assistance Systems", https://www. researchgate.net/publication/221787813

[4] DR. MADHU B K1, KARTHIK KOTI2, K SURABHI3, NIKHIL U4,YASHWANTH M." VEHICLE COLLISION AVOIDANCE SYSTEM", International Research Journal of Engineering and Technology(IRJET,) e-ISSN: 2395-0056,Volume: 07 Issue: 06

[5] https://www.kpit.com/insights/

autonomous- driving-applications/

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international- releases-updated-visualchart-for-its-%E2%80%9Clevels-ofdriving- automation%E2%80%9Dstandard-for-self-driving-vehicles

[9] https://www.first-sensor.com/en/

[10] https://www.embedded.com/howsmart-sensors-enhance-adas-designs/

Automotive LIDAR, Texas Instruments,

applications/mobility/

[11] An Introduction to

[8] https://www.sae.org/news/ press-room/2018/12/sae-

architectural-concepts-for-

−( Sensor\_Architecture)

semanticscholar.org/4bce/ e9bcdfae49c3654429f03be03fb8c 5a7836e.pdf ( all sensors-twent)

[6] https://pdfs.

adas-testing/

BIM is widely recognized as a fundamental methodology for relaunching the global economy: this is why in many countries digitalization processes have been started in the AEC sector [2].

BIM starts at the planning and conceptual design stage and continues throughout the lifecycle of the asset. It is important that intelligent information is not lost as the project progresses through the various stages of a BIM Infrastructure Project.

The entire process of developing, executing and managing infrastructure projects can be transformed—initial surveying and data collection, environmental review, public participation, design and documentation, bidding, construction, and operations and maintenance [3, 4]. The model-centric approach enables planners, engineers, and designers to explore and validate innovative design ideas and what-if scenarios with project investors.

To model a smart infrastructure, it is necessary to find a set of variables and parameters essential for the analysis and prediction of the performance of built objects [5].

Data modeling can be performed by procedural, also known as parametric, modeling that provides object-oriented n-dimensional information or generative model information containing objects created through algorithmic processes [6].

Parametric and procedural 3D geometrical models can be represented by graphs in order to define relationships and dependencies between geometric entities and allow its reuse in similar design scenarios or to adapt it to different scenarios [7, 8].

The models created for BIM are not just 3D geometry; they are data-rich objects which are: intelligent - parametric engines help define relationships between objects and keep changes consistent and coordinated; knowledge-based - can be constrained by things like AASHTO codes, design criteria, and company standards; scalable - able to aggregate huge amounts of data from multiple sources; visual enable better analysis, simulation and communication [9].

In the last few years, researchers have been focusing their attention on assessing the benefits of using digital tools and processes to support effectively the entire life of transportation facilities and road infrastructures, from strategic planning, design and construction [10–17] to performance management and maintenance [18–21].

Marzouk and Othman [22] proposes an inclusive framework for integrating Building Information Modeling (BIM) and Geographical Information System (GIS) to plan and forecast the utility infrastructure needs for expanding and emerging cities to highlight the concept of "smartness" during the planning stage.

As highlighted by Sankaran et al. [23], BIM is an efficient method for collecting and updating as-built data for creating a digital archive of information to facilitate management and future project development.

For example, Tang et al. [24] created a platform for the integration of Building Information Modeling (BIM) based road design and pavement structural analysis, allowing to establish a conversion between the three dimensional (3D) model and the finite element method software ABAQUS, providing quality data and powerful technical support and minimizing the uncertainty factors in the road design and maintenance processes.

Also, the design process was supported through the implementation of an empirical model for the analysis of permanent deformation of the asphalt pavement, which allows selecting the pavement that best suits the desired service life [25].

There is a need for such an approach to assist decision makers to ensure enterprise's objectives and targets are maximized with given budget and planned shutdown time [26, 27].

Interoperable BIM model has been adapted to perform complex multi-physical studies and simulations in several technical fields (including noise exposure,

**239**

**Figure 1.**

*Methodological approach.*

*BIM Approach for Smart Infrastructure Design and Maintenance Operations*

wind comfort, artificial and natural lighting, energy consumption, environmental

However, the existing BIM-based decision-support methods have primarily focused on building design and construction. Therefore, they are limited in their ability to provide an appropriate methodology for master planning of large-scale

Analysis procedure presented here aims to offer an innovative and practical methodology for integration of road design and pavement analysis, for a better

The work phases are shown in **Figure 1** and basically are carried out as follows:

1.Building the existing ground surfaces; surfaces are used to derive alignments

2.Designing horizontal-vertical alignment; alignment are used by corridor as its centerline while profiles use existing ground profiles and design finished grade

3.Create the required assemblies; subassemblies are used to build the required

5.Information management for a decision support system for the management of

management and optimization of road pavement maintenance.

and profiles, and for corridor grading;

profile (vertical alignments);

It is of great significance to promote the application of BIM technology in the life cycle management of projects in the context of smart cities, ensure the consistency and interoperability of BIM deliverables at all engineering stages, and realize the comprehensive management of the construction industry in smart cities [30, 31].

*DOI: http://dx.doi.org/10.5772/intechopen.94242*

impacts and global comfort) [28].

development projects [29].

**2. Goals definition**

assemblies;

4.Create the 3D corridor;

maintenance processes.

*BIM Approach for Smart Infrastructure Design and Maintenance Operations DOI: http://dx.doi.org/10.5772/intechopen.94242*

wind comfort, artificial and natural lighting, energy consumption, environmental impacts and global comfort) [28].

However, the existing BIM-based decision-support methods have primarily focused on building design and construction. Therefore, they are limited in their ability to provide an appropriate methodology for master planning of large-scale development projects [29].

It is of great significance to promote the application of BIM technology in the life cycle management of projects in the context of smart cities, ensure the consistency and interoperability of BIM deliverables at all engineering stages, and realize the comprehensive management of the construction industry in smart cities [30, 31].
