Reinforcement learning in intelligent transportation systems: recent developments

2021 ◽  
Author(s):  
Ye Yu ◽  
Quanquan Wang ◽  
Yukai Wang ◽  
Jiating Kuai
Keyword(s):  
Reinforcement Learning ◽  
Intelligent Transportation Systems ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Recent Developments

scholarly journals Recent Developments on Security and Privacy of V2V & V2I Communications: A Literature Review

2020 ◽  
Vol 48 (4) ◽  
pp. 377-383
Author(s):  
Evangelos Mitsakis ◽  
Iliani Styliani Anapali
Keyword(s):  
Intelligent Transportation Systems ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
New Technologies ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Security And Privacy ◽  
Privacy Requirements ◽  
Recent Developments ◽  
Hoc Networks

In the recent years Intelligent Transportation Systems and associated technologies have progressed significantly, including services based on wireless communications between vehicles (V2V) and infrastructure (V2I). In order to increase the trustworthiness of these communications, and convince drivers to adopt the new technologies, specific security and privacy requirements need to be addressed, using Vehicular Ad Hoc Networks (VANETs). To maintain VANET′s security and eliminate possible attacks, mechanisms are to be developed. In this paper, previous researches are reviewed aiming to provide information concerning matches between an attack and a solution in a VANET environment.

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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