Vitale Alessandro

About Vitale Alessandro

Vitale Alessandro, With an exceptional h-index of 22 and a recent h-index of 20 (since 2020), a distinguished researcher at Università della Calabria, specializes in the field of Geomatics - Remote Sensing - Artificial intelligence - GIS.

His recent articles reflect a diverse array of research interests and contributions to the field:

Quantitative and qualitative analysis of internet of things (IoT) in smart cities and its applications

Evaluation of contributing factors affecting number of vehicles involved in crashes using machine learning techniques in rural roads of Cosenza, Italy

A deep learning-based method for the semi-automatic identification of built-up areas within risk zones using aerial imagery and multi-source GIS data: an application for …

The state of the art of artificial intelligence approaches and new technologies in structural health monitoring of bridges

Artificial intelligence and structural health monitoring of bridges: A review of the state-of-the-art

Structural Health Monitoring in Cognitive Buildings

Challenges and opportunities of using data fusion methods for travel time estimation

Application of feature selection approaches for prioritizing and evaluating the potential factors for safety management in transportation systems

Vitale Alessandro Information

University

Position

___

Citations(all)

1476

Citations(since 2020)

990

Cited By

838

hIndex(all)

22

hIndex(since 2020)

20

i10Index(all)

36

i10Index(since 2020)

31

Email

University Profile Page

Google Scholar

Vitale Alessandro Skills & Research Interests

Geomatics - Remote Sensing - Artificial intelligence - GIS

Top articles of Vitale Alessandro

Title

Journal

Author(s)

Publication Date

Quantitative and qualitative analysis of internet of things (IoT) in smart cities and its applications

Sina Shaffiee Haghshenas

Giuseppe Guido

Alessandro Vitale

Saeid Jafarzadeh Ghoushchi

2022/9/12

Evaluation of contributing factors affecting number of vehicles involved in crashes using machine learning techniques in rural roads of Cosenza, Italy

Safety

Giuseppe Guido

Sina Shaffiee Haghshenas

Sami Shaffiee Haghshenas

Alessandro Vitale

Vittorio Astarita

...

2022/4/8

A deep learning-based method for the semi-automatic identification of built-up areas within risk zones using aerial imagery and multi-source GIS data: an application for …

Remote Sensing

Mauro Francini

Carolina Salvo

Antonio Viscomi

Alessandro Vitale

2022/8/30

The state of the art of artificial intelligence approaches and new technologies in structural health monitoring of bridges

Raffaele Zinno

Sina Shaffiee Haghshenas

Giuseppe Guido

Kaveh Rashvand

Alessandro Vitale

...

2022/12/21

Artificial intelligence and structural health monitoring of bridges: A review of the state-of-the-art

Raffaele Zinno

Sina Shaffiee Haghshenas

Giuseppe Guido

Alessandro VItale

2022/8/17

Structural Health Monitoring in Cognitive Buildings

Raffaele Zinno

Giuseppe Guido

Francesca Salvo

Serena Artese

Manuela De Ruggiero

...

2022/12/11

Challenges and opportunities of using data fusion methods for travel time estimation

Giuseppe Guido

Sina Shaffiee Haghshenas

Alessandro Vitale

Vittorio Astarita

2022/5/17

Application of feature selection approaches for prioritizing and evaluating the potential factors for safety management in transportation systems

Computers

Giuseppe Guido

Sami Shaffiee Haghshenas

Sina Shaffiee Haghshenas

Alessandro Vitale

Vittorio Astarita

2022/9/23

Prioritizing the potential smartification measures by using an Integrated decision support system with sustainable development goals (a case study in southern Italy)

Safety

Giuseppe Guido

Sina Shaffiee Haghshenas

Sami Shaffiee Haghshenas

Alessandro Vitale

Vincenzo Gallelli

...

2022/5/5

A scientometric-based review of traffic signal control methods and experiments based on connected vehicles and floating car data (FCD)

Vittorio Astarita

Vincenzo Pasquale Giofrè

Giuseppe Guido

Alessandro Vitale

2021/6/15

Validation of Simulated Safety Indicators with Traffic Crash Data

Borja Alonso Oreña

Vittorio Astarita

Vincenzo Pasquale Giofrè

Giuseppe Guido

Marcella Marino

...

2020/1/27

Floating car data adaptive traffic signals: A description of the first real-time experiment with “connected” vehicles

Electronics

Vittorio Astarita

Vincenzo Pasquale Giofré

Demetrio Carmine Festa

Giuseppe Guido

Alessandro Vitale

2020/1/7

The Computer System Architecture of our first real-time real-world experiment of adaptive traffic signals with" connected" vehicles

Procedia Computer Science

Vittorio Astarita

Vincenzo Pasquale Giofrè

Giuseppe Guido

Alessandro Vitale

2020/1/1

Feasibility of stochastic models for evaluation of potential factors for safety: a case study in Southern Italy

Sustainability

Giuseppe Guido

Sina Shaffiee Haghshenas

Sami Shaffiee Haghshenas

Alessandro Vitale

Vittorio Astarita

...

2020/9/12

The use of a Blockchain-based System in Traffic Operations to promote Cooperation among Connected Vehicles

Procedia Computer Science

Vittorio Astarita

Vincenzo Pasquale Giofré

Giuseppe Guido

Alessandro Vitale

2020/1/1

Development of a binary classification model to assess safety in transportation systems using GMDH-type neural network algorithm

Sustainability

Giuseppe Guido

Sina Shaffiee Haghshenas

Sami Shaffiee Haghshenas

Alessandro Vitale

Vincenzo Gallelli

...

2020/8/20

A review of traffic signal control methods and experiments based on Floating Car Data (FCD)

Vittorio Astarita

Vincenzo Pasquale Giofrè

Giuseppe Guido

Alessandro Vitale

2020/1/1

Mobile computing for disaster emergency management: Empirical requirements analysis for a cooperative crowdsourced system for emergency management operation

Smart Cities

Vittorio Astarita

Vincenzo Pasquale Giofrè

Giuseppe Guido

Giulio Stefano

Alessandro Vitale

2020/2/7

See List of Professors in Vitale Alessandro University(Università della Calabria)