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.

Incorporating Intelligent Transportation Systems into Major Investment Studies: Conceptual Issues and Challenges

1998 ◽  
Vol 1651 (1) ◽  
pp. 8-16 ◽  
Author(s):  
S. Gregory Hatcher ◽  
James A. Bunch ◽  
Donald L. Roberts
Keyword(s):  
Intelligent Transportation Systems ◽  
Planning Process ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Problem Definition ◽  
Corridor Planning ◽  
Surface Transportation ◽  
Key Steps ◽  
Measures Of Effectiveness

The issues associated with incorporating intelligent transportation systems (ITS) strategies into alternatives analysis planning studies such as major investment studies (MIS), which have emerged since the Intermodal Surface Transportation Efficiency Act was passed in 1991, are discussed. The challenges and implications of including ITS in three of the key steps of the MIS process—problem definition, alternative definition, and analysis—are examined. As context for the specific issues addressed, a case study is presented on incorporating ITS into a corridor planning process that is being conducted using Seattle data. Critical to incorporating ITS elements within an MIS process is developing a problem statement, goals and objectives, and measures of effectiveness that are sensitive to ITS and other operational improvements for the corridor or subarea under study. Traditional MIS processes have focused on facility/service improvements and on average conditions and demand. ITS strategies, on the other hand, aim at improving ( a) operations; ( b) response to nonrecurrent conditions; and ( c) providing better information. To be able to address ITS strategies, the analysis approach used in an MIS should be sensitive to these issues. An illustration of how ITS strategies are being incorporated and evaluated in the Seattle (MIS-like) case study concludes the discussion.

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.

PLANiTS: Structuring and Supporting the Intelligent Transportation Systems Planning Process

1997 ◽  
Vol 1588 (1) ◽  
pp. 32-40 ◽  
Author(s):  
Asad J. Khattak ◽  
Adib Kanafani
Keyword(s):  
Performance Measures ◽  
Intelligent Transportation Systems ◽  
Planning Process ◽  
Intelligent Transportation ◽  
Quantitative Information ◽  
Transportation Systems ◽  
Case Based Reasoning ◽  
Systems Planning ◽  
Trade Offs ◽  
Computer Based

PLANiTS (Planning and Analysis Integration for Intelligent Transportation Systems) is a process-based computer system that supports a series of mutually interdependent steps progressing toward developing and programming transportation improvement projects. It is a tool that translates problems and goals to performance measures, examines possible competing and complementary transportation improvement actions, systematically evaluates the impacts of actions using models and knowledge, and supports human interactions between stakeholders. The PLANiTS methodology is nonincremental because it integrates existing knowledge about transportation with analysis using models with deliberation and issue resolution. To link planning and modeling, PLANiTS has a policy base that contains contemporary performance measures, an action base containing conventional and Intelligent Transportation Systems actions, a methods base that facilitates modeling, a case that has qualitative and quantitative information about historical cases, and a set of computer-based communications tools. This comprehensive methodology will likely expedite the implementation of intelligent technologies by systematically examining their trade-offs with more conventional transportation improvement actions. PLANiTS’s structure, functionality, and application are described. Transportation improvement projects are represented as planning vectors in PLANiTS. A vector permits users to examine the effects of chosen transportation actions in terms of performance measures within an environment. Users must specify the actions, performance measures, and the environment, each in terms of their spatial, temporal, and user dimensions. Then they can analyze the planning vector with models and case-based reasoning. During the process of planning vector specification and analysis, stakeholders at different locations can communicate by sending and receiving messages and sharing the planning vector. Users at different locations can examine and review the results and iterate in an open and deliberative planning environment. Overall, PLANiTS facilitates transportation planning processes by combining analysis and deliberation.

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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