A novel multi-view pedestrian detection database for collaborative Intelligent Transportation Systems

2020 ◽  
Vol 113 ◽  
pp. 506-527 ◽  
Author(s):  
Anouar Ben Khalifa ◽  
Ihsen Alouani ◽  
Mohamed Ali Mahjoub ◽  
Atika Rivenq
Keyword(s):  
Intelligent Transportation Systems ◽  
Pedestrian Detection ◽  
Intelligent Transportation ◽  
Transportation Systems

scholarly journals Applications of Deep Learning Techniques for Pedestrian Detection in Smart Environments: A Comprehensive Study

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Fen He ◽  
Paria Karami Olia ◽  
Rozita Jamili Oskouei ◽  
Morteza Hosseini ◽  
Zhihao Peng ◽  
...  
Keyword(s):  
Deep Learning ◽  
Intelligent Transportation Systems ◽  
Smart Cities ◽  
Pedestrian Detection ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Main Challenge ◽  
Learning Techniques ◽  
The World ◽  
Self Driving Cars

Intelligent transportation systems have been very well received by car companies, people, and governments around the world. The main challenge in the world of smart and self-driving cars is to identify obstacles, especially pedestrians, and take action to prevent collisions with them. Many studies in this field have been done by various researchers, but there are still many errors in the accurate detection of pedestrians in self-made cars made by different car companies, so in the research in this study, we focused on the use of deep learning techniques to identify pedestrians for the development of intelligent transportation systems and self-driving cars and pedestrian identification in smart cities, and then some of the most common deep learning techniques used by various researchers were reviewed. Finally, in this research, the challenges in each field are discovered, which can be very useful for students who are looking for an idea to do their dissertations and research in the field of smart transportation and smart cities.

Quality indicator of the smart city transportation and logistics system

2020 ◽  
Vol 19 (11) ◽  
pp. 2116-2135
Author(s):  
G.V. Savin
Keyword(s):  
Intelligent Transportation Systems ◽  
Smart City ◽  
Urban Areas ◽  
Human Life ◽  
Life Quality ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Logistics System ◽  
Organization And Management

Subject. The article considers functioning and development of process flows of transportation and logistics system of a smart city. Objectives. The study identifies factors and dependencies of the quality of human life on the organization and management of stream processes. Methods. I perform a comparative analysis of previous studies, taking into account the uniquely designed results, and the econometric analysis. Results. The study builds multiple regression models that are associated with stream processes, highlights interdependent indicators of temporary traffic and pollution that affect the indicator of life quality. However, the identified congestion indicator enables to predict the time spent in traffic jams per year for all participants of stream processes. Conclusions. The introduction of modern intelligent transportation systems as a component of the transportation and logistics system of a smart city does not fully solve the problems of congestion in cities at the current rate of urbanization and motorization. A viable solution is to develop cooperative and autonomous intelligent transportation systems based on the logistics approach. This will ensure control over congestion, the reduction of which will contribute to improving the life quality of people in urban areas.

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