Intelligent transportation systems design based on mass customization

Author(s):  
Yang Xu ◽  
Binglu Wang ◽  
Shuwen Liu ◽  
Yi Bu ◽  
Jun Wang ◽  
...  
2000 ◽  
Vol 1719 (1) ◽  
pp. 184-190 ◽  
Author(s):  
Brian L. Smith ◽  
Robert S. Sielken

Intelligent transportation systems (ITS) are deployed around the world to improve the safety and efficiency of surface transportation through the application of advanced information technology. However, ITS expose the transportation system to new vulnerabilities, making it imperative that those implementing such systems design them to be more survivable. The approaches most commonly used to increase the survivability of ITS are physical security, hardware redundancy, and software and data backups. An essential element of a survivable system that has not been adequately addressed is intrusion detection. Intrusion detection seeks to identify individuals who have gained unauthorized access to a system, as well as those with authorized access who are abusing the system. Described is the importance of robust intrusion detection for ITS (and other transportation information systems). The state of the practice in intrusion detection is summarized, and a case study is presented that investigates the development of an intrusion detection system (IDS) conceptual design for an essential element of ITS, electronic toll collection. Through the case study, the researchers found that intrusion detection at the application level could significantly improve the overall surviv-ability of ITS. From this finding, it is clear that there is a need to commit resources to developing application level IDS for the wide range of ITS. Given the importance of surface transportation to a region’s economy and the potential vulnerabilities introduced by ITS, it is imperative that further work be conducted to increase the survivability of ITS.


2020 ◽  
Vol 19 (11) ◽  
pp. 2116-2135
Author(s):  
G.V. Savin

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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