Evolving Interoperability with National Transportation Communication for Intelligent Transportation Systems Protocols

1998 ◽  
Vol 1651 (1) ◽  
pp. 117-123
Author(s):  
Edward J. Seymour ◽  
Raman K. Patel
Keyword(s):  
Intelligent Transportation Systems ◽  
Manufacturing Process ◽  
Cost Effective ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Design And Manufacturing ◽  
The Future ◽  
Transportation Applications ◽  
Core Functionality ◽  
The Way

One of the most exciting developments in the intelligent transportation systems (ITS) industry—one that holds so much promise for the future—is the National Transportation Communications for ITS Protocols (NTCIP). NTCIP will help lead the way to achieve a cost-effective deployment and management of ITS applications. It will also influence the design and manufacturing process and should cause changes in the way system integrators do their work. The resulting interoperability of core functionality between transportation devices will be an enabling service for ITS deployment. Developmental efforts, the implications of NTCIP, and the resulting interoperability for transportation applications are reported. The framework of the NTCIP is described and device level interoperability is discussed. NTCIP makes an effort to fulfill the initial needs for interoperable and interchangeable field devices. Current developments of the NTCIP effort are described and interoperability features are identified.

Design on Video-Based Automatic Detecting and Recording System of Vehicles for Violation of Traffic Signal

2014 ◽  
Vol 543-547 ◽  
pp. 1022-1025
Author(s):  
Wei Zhao ◽  
Wen Juan Huang ◽  
Jian Yu Gao ◽  
Lin Zhang
Keyword(s):  
Intelligent Transportation Systems ◽  
Technological Progress ◽  
Cost Effective ◽  
Intelligent Transportation ◽  
Detection Algorithm ◽  
Transportation Systems ◽  
Traffic Signal ◽  
Recording System ◽  
The Social ◽  
Control Terminal

With the social development and technological progress, automatic detecting and recording system of cars for violation of traffic signal, as an important part of intelligent transportation systems, is entering the stage of full implementation. For the dependence on external systems, inconvenience of construction and maintenance, and poor flexibility of the traditional automatic detecting and recording system based on magnetic induction coil, the introduction of video-based detecting and recording system of cars for violation of traffic signal is present. In the video detection, the detection of illegal vehicles is completed by virtual coil detection algorithm based on regional changes. This system is simple, requiring only the camera installed in intersection to capture video, and junctions control terminal. At the same time, its process is easy to implement, and has a huge cost-effective.

scholarly journals Elevating the future of mobility UAV-enabled Intelligent Transportation Systems

2021 ◽  
Author(s):  
Abdul Saboor ◽  
Sander Coene ◽  
Evgenii Vinogradov ◽  
Emmeric Tanghe ◽  
Wout Joseph ◽  
...  
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Base Stations ◽  
Unmanned Aerial Systems ◽  
Traffic Efficiency ◽  
Autonomous Operation ◽  
Aerial Vehicles ◽  
The Future

Intelligent Transportation Systems (ITS) improve traffic efficiency, traffic management, driver’s comfort, and safety. They consist of a broad range of components, including vehicles, sensors, Base Stations, Road Side Units, and road infrastructure (i.e., traffic signals). ITS of the near future will need to support multi-modal transportation schemes (including ground and aerial vehicles, so-called Urban Air Mobility). ITS will have to be integrated with Unmanned Aerial Systems Traffic Management (UTM) and rely on 3 Dimensional (3D) connectivity provided by Integrated Aerial-Terrestrial 6G networks to achieve this support. In other words, various types of Unmanned Aerial Vehicles (UAVs) will become integral parts of future ITS due to their mobility, autonomous operation, and communication/processing capabilities. This article presents our view on the future integration of ITS and UTM systems, enabling wireless technologies and open research questions. We also present how UAVs can be used to enhance the performance of the currently available ITS.

scholarly journals Collaborative and Infrastructure-less Vehicular Traffic Rerouting for Intelligent Transportation Systems

2020 ◽  
Author(s):  
Ademar Takeo Akabane ◽  
Edmundo Roberto Mauro Madeira ◽  
Leandro Aparecido Villas
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Management System ◽  
Cost Effective ◽  
Intelligent Transportation ◽  
Good Alternative ◽  
Transportation Systems ◽  
Vehicular Traffic ◽  
Traffic Management System

This extended abstract provides an at-a-glance view of the main contributions of my Ph.D. work. The work aims to investigate and develop cutting-edge an infrastructure-less vehicular traffic management system in order to minimize vehicular traffic congestion and advance the state-of-the-art in intelligent transportation systems. The proposed solutions were widely compared with other literature solutions on different performance evaluation metrics. The evaluation results show that the proposed vehicle traffic management system is efficient, scalable, and cost-effective, which may be a good alternative to mitigate urban mobility problems.

scholarly journals Cost-Effective V2X Task Offloading in MEC-Assisted Intelligent Transportation Systems

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 169010-169023
Author(s):  
Andrey Belogaev ◽  
Alexey Elokhin ◽  
Artem Krasilov ◽  
Evgeny Khorov ◽  
Ian F. Akyildiz
Keyword(s):  
Intelligent Transportation Systems ◽  
Cost Effective ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Task Offloading

scholarly journals Elevating the future of mobility UAV-enabled Intelligent Transportation Systems

2021 ◽  
Author(s):  
Abdul Saboor ◽  
Sander Coene ◽  
Evgenii Vinogradov ◽  
Emmeric Tanghe ◽  
Wout Joseph ◽  
...  
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Base Stations ◽  
Unmanned Aerial Systems ◽  
Traffic Efficiency ◽  
Autonomous Operation ◽  
Aerial Vehicles ◽  
The Future

Intelligent Transportation Systems (ITS) improve traffic efficiency, traffic management, driver’s comfort, and safety. They consist of a broad range of components, including vehicles, sensors, Base Stations, Road Side Units, and road infrastructure (i.e., traffic signals). ITS of the near future will need to support multi-modal transportation schemes (including ground and aerial vehicles, so-called Urban Air Mobility). ITS will have to be integrated with Unmanned Aerial Systems Traffic Management (UTM) and rely on 3 Dimensional (3D) connectivity provided by Integrated Aerial-Terrestrial 6G networks to achieve this support. In other words, various types of Unmanned Aerial Vehicles (UAVs) will become integral parts of future ITS due to their mobility, autonomous operation, and communication/processing capabilities. This article presents our view on the future integration of ITS and UTM systems, enabling wireless technologies and open research questions. We also present how UAVs can be used to enhance the performance of the currently available ITS.

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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