Intelligent Transportation Systems – Value Adder For Users Or Nerd's Toy?

2000 ◽  
Vol 53 (1) ◽  
pp. 14-19 ◽  
Author(s):  
Peter Foyer ◽  
Kambiz Porooshasp ◽  
Jordi Calafel

This paper, and the following five papers, were presented during the Telematics Automotive 99 Conference held at the National Exhibition Centre, Birmingham, 13th to 15th April 1999. This first paper sets the scene for the more detailed technical aspects of the later papers. Copies of the full proceedings of Telematics Automotive 99 are available on loan from The Cundall Library.Globalisation of both markets and supply has been nowhere more obvious than in motor cars. These vehicles create not only the most free economic pipeline known to man but also a revolution in personal freedom. They are unlikely to go away; we have to find ways of living with them by coping with the environmental problems and the many forms of traffic problem: congestion, driving and support skills and car crime. In other areas, notably manufacturing and commerce, automation and advanced communications have enabled radical improvements in quality, productivity and environmental impact. This effect has yet to reach road transport in volume; the environmental and traffic problems are growing at least as fast as the populations of vehicles grow. The risk with such an important enabler as telematics is that it is seen as a plaything for gadget-minded users, rather than a key enabler for ongoing use of the car in the face of unrelenting pressures of congestion and environmental damage.

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.


Author(s):  
Taghi Shahgholi ◽  
Amir Sheikhahmadi ◽  
Keyhan Khamforoosh ◽  
Sadoon Azizi

AbstractIncreased number of the vehicles on the streets around the world has led to several problems including traffic congestion, emissions, and huge fuel consumption in many regions. With advances in wireless and traffic technologies, the Intelligent Transportation System (ITS) has been introduced as a viable solution for solving these problems by implementing more efficient use of the current infrastructures. In this paper, the possibility of using cellular-based Low-Power Wide-Area Network (LPWAN) communications, LTE-M and NB-IoT, for ITS applications has been investigated. LTE-M and NB-IoT are designed to provide long range, low power and low cost communication infrastructures and can be a promising option which has the potential to be employed immediately in real systems. In this paper, we have proposed an architecture to employ the LPWAN as a backhaul infrastructure for ITS and to understand the feasibility of the proposed model, two applications with low and high delay requirements have been examined: road traffic monitoring and emergency vehicle management. Then, the performance of using LTE-M and NB-IoT for providing backhaul communication infrastructure has been evaluated in a realistic simulation environment and compared for these two scenarios in terms of end-to-end latency per user. Simulation of Urban MObility has been used for realistic traffic generation and a Python-based program has been developed for evaluation of the communication system. The simulation results demonstrate the feasibility of using LPWAN for ITS backhaul infrastructure mostly in favor of the LTE-M over NB-IoT.


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