Framework for Developing a Regional System Architecture for Intelligent Transportation Systems

1997 ◽  
Vol 1588 (1) ◽  
pp. 77-85
Author(s):  
Daniel A. Rodríguez ◽  
Joseph M. Sussman
Keyword(s):  
New York ◽  
System Architecture ◽  
Intelligent Transportation Systems ◽  
Technology Implementation ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Traditional Role ◽  
Development Approach ◽  
Architecture Development ◽  
Institutional Relationships

Defining an architecture for intelligent transportation systems (ITS) at the regional level, where most ITS deployment occurs, is constrained by jurisdictional, institutional, financial, political, and regulatory factors. These constraints provide opportunities for the architecture that go beyond its traditional role as a guiding tool for technology implementation to a newer role of reorienting institutional relationships. An architecture development approach is proposed that considers regional transportation needs and characteristics so as to increase the benefits from implementing ITS locally. It also provides a new way of thinking about the importance of the National ITS System Architecture in the context of regional ITS deployments. The development approach was tested by considering how regional architectures in New York, Boston, and Houston address regional needs. Findings and implications of the regional ITS architectures of the case study areas are presented.

Regional Intelligent Transportation Systems Architectures and the Competitive Region

1998 ◽  
Vol 1651 (1) ◽  
pp. 1-7
Author(s):  
Daniel A. Rodríguez ◽  
Abel Muñoz-Loustaunau ◽  
Todd Pendleton ◽  
Joseph M. Sussman
Keyword(s):  
System Architecture ◽  
Intelligent Transportation Systems ◽  
Planning Process ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Economic Interests ◽  
Transportation Problems ◽  
Regional Coordination ◽  
Ideal Tool ◽  
Systems Architectures

The role of an architecture for deploying intelligent transportation systems in finding solutions to regional transportation problems is analyzed. The concept of a competitive region, a region with changing economic interests, stakeholders, and borders, is reviewed. The competitive region motivates finding solutions to transportation problems of regional scope. The concept of a regional system architecture is then introduced as a catalyst for reaching coordinated regional solutions. The regional architecture’s flexibility and ability to bring different stakeholders together make it an ideal tool for planning for intelligent transportation systems deployment in the competitive region while strengthening the traditional transportation planning process. The province of Mendoza, Argentina, is presented as a research case study for using an architecture for shaping a regional transportation system. The research shows that the fundamental issues to address in ITS deployment are institutional in nature and that a system architecture can become a strategic tool for developing transportation improvements in the context of regional coordination.

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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