Regional Intelligent Transportation Systems Research Articles

Design and Development of Intelligent Transportation System (ITS)

The number of people killed in automobile accidents in India is notably higher than the global average. The mortality toll from automobile accidents is especially high in the country's intermediate cities, much exceeding that of the country as a whole and even the country's largest cities. The creation of technical services within the context of so-called Intelligent Transportation Systems is one way that cities and mobility agencies have attempted to address these issues (ITS). Interoperability and integration of services are not possible, entail large costs, and are difficult to deploy because they are not based on an effective ITS design. Due to the lack of an established ITS architecture, it is not being used in the creation of these services. Although there are publications about regional ITS architectural design techniques, no such framework exists that takes into account both the city's specific setting and a wide variety of reference materials. We provide a technique to build an ITS architecture suitable for an intermediate city in a developing nation, with the goal of fostering the growth of mobility services in this sector. We established a straightforward, logical approach by reviewing the relevant paperwork, identifying the best practices, taking into account the scope and context, and so on. In this essay, we show the design process we developed and the outcomes we gained from using it. The developed methodology not only served to facilitate the design of an ITS architecture, but we also believe it may be used as a resource for the growth of ITS architectures in comparable settings. The city's mobility services can be planned and implemented effectively thanks to the ITS architecture that has been developed.

Construction of Regional Intelligent Transportation System in Smart City Road Network via 5G Network

This purpose of the research is to explore the construction status and prediction performance of intelligent transportation systems in the road network of smart cities based on 5G (5th Generation Mobile Communication Technology) network, and further intellectualize the smart city. Aiming at the diversity and complexity of regional traffic influencing factors of road network in the construction of smart city, this research carries out resource real-time load balancing scheduling from the perspective of 5G heterogeneous network. Meanwhile, CNN (convolutional neural network) in the introduced deep learning algorithm is improved, and finally an intelligent traffic prediction model is constructed based on 5G load balancing and AlexNet network. The model is simulated and its performance is analyzed. The results show that the algorithm proposed is compared with LSTM (Long Short-Term Memory), CNN, RNN (Recurrent Neural Network), VGGNet (Visual Geometry Group Network), and BN (Bayesian network) models regarding Accuracy, Precision, Recall, and F1. It is found that the road network prediction accuracy of the algorithm proposed is 94.05%, which is at least 4.29% higher than that of the model algorithm proposed by other scholars. The analysis of network data transmission synchronization performance suggests that there are obvious performance improvements in access delay, access collision rate, reliability, and network throughput. Among them, the packet loss rate is lower than 0.1, the access collision rate is basically stable at about 0, the access time is stable at about 75ms, and the sending throughput is basically maintained at about 1, which is significantly better than the performance of other algorithms. Therefore, the intelligent transportation system can achieve better data transmission performance under the premise of ensuring high prediction performance, with prominent instantaneity, which can provide experimental basis for the intelligent development of transportation in smart cities.

Functional model of expert traffic flow control system within high-speed transportation corridors

Recently, the number of vehicles on the roads has increased significantly, including within high-speed transportation corridors. Furthermore, the volume of cargo transportation increases annually not only within the country, but also between different countries. Taking into account these factors, as well as the possibility that unmanned vehicles will soon appear within high-speed transportation corridors, it is necessary to develop intelligent transportation systems that will effectively control traffic flows. Traffic flows are controlled by directional changes in its capacity. In order to interact with road users and road infrastructure, it is necessary to develop an expert system that will make recommendations using the predicted capacity value and information about the current value of the parameters describing the high-speed transport corridor. The article presents a neuro-fuzzy model for predicting capacity by known system parameters and conditions of its functioning, built using the concept of mathematical remodeling. There is also given the results of Sensitivity Analysis based on applying Analysis of Finite Fluctuations depending on external factors. In addition the conceptual and functional models of the developed expert system for regional intelligent transportation system module are proposed.

Heterogeneous Data Aggregation Schemes to Determine Traffic Flow Parameters in Regional Intelligent Transportation Systems

For optimal solution of intelligent transportation centers goals it’s necessary to collect and process information from a variety of sources to ensure a full understanding of the situation on roads in real-time. It is possible to improve traffic control and transportation corridor management tasks via analysis of heterogeneous sources such as GPS, metadata regarding device identity, status and location used by mobile devices to stay connected to various networks, data received from vehicles and road infrastructure devices, transport cards and terminals information in the public transport; e-mail messages, SMS, posts in messengers or social networks, metadata of phone calls of road users (drivers, pedestrians and passengers); video streams from surveillance cameras and drones, cameras to record violations; data from accelerometers, compasses, temperature sensors, infrared radiation, electromagnetic field, atmospheric pressure, etc.; data from radars, devices analyzing RFID-tags. In the paper the possibility of using heterogeneous sources to calculate the necessary characteristics of the traffic flow is discussed, the existing approaches to aggregate information obtained from heterogeneous sources are described, a conceptual scheme of the module to aggregate heterogeneous data based on BigData and Data Mining methods is suggested.

Optimal route scheduling-driven study of a photovoltaic charging-station (parking lot) for electric mini-buses

The objective of the present study is threefold: To highlight how electro-mobility can: (a) Contribute to the promotion of the environmental conservation of the rural areas (through an integrated solution for reducing the carbon footprint of road facilities and transport), (b) Enhance tourism-based economical development, (c) facilitate students in their daily transport and residents (elderly, disabled, distant-residents) in their daily on-demand transport. The overall goal is to design an energy-efficient, regional intelligent transportation system with innovative solar-energy charging-stations for e-vehicles in municipalities with many geographically scattered small villages and small cities. The innovative character of the study is that it tries to tackle all three specific objectives simultaneously and with the same means, since it utilizes Intelligent Transportation Systems (ITS). The study is adapted and applied to an area with the above characteristics, in order to demonstrate the proof of concept.

Effects of Public and Private Investments in Intelligent Transportation Systems on Freight Movement Outcomes

This paper examines the relationship between public and private investments in intelligent transportation system (ITS) technology and the effects on transportation performance through the highway system. ITS technology is an infrastructure that promotes integrated information sharing that can be used to improve system performance. ITS combines better infrastructure with information and control technologies to ( a) reduce traffic congestion by maintaining traffic flow, ( b) reduce transportation-generated pollution, ( c) improve transport efficiency, and ( d) produce economic benefits. A statistical analysis of partial least squares structural equation modeling was used to test three hypothesized relationships. Primary data were collected from U.S.-based commercial vehicle transportation service providers. Respondents were parceled with a geographic information system analysis of secondary data from the U.S. Department of Transportation National ITS Deployment Tracking Survey. On the basis of their level of regional ITS experience, primary data respondents were matched to regions and split between regions with low ITS experience and high ITS experience as a proxy for regional public investments in ITS. Performance measures were based on efficiency, reliability, responsiveness, quality, carbon emissions reduction, and equipment utilization for commercial vehicle operators. Results indicate that private investments in ITS significantly positively affect the responsiveness performance measure for commercial vehicle operators in regions with high public ITS investments. The same relationship is not significant in regions with low public ITS investments, which indicates at least some transportation performance improvements for regions with higher investments in ITS. Implications for research and practice are discussed.

Design Structure Matrices to Improve Decentralized Urban Transportation Systems

Managing large, complex urban transportation systems involves numerous stakeholders because of decentralized ownership and operation of distinct pieces of the physical network and services. To deliver better service to users, many urban regions are adopting technological and operational solutions, both of which necessitate interaction among the decentralized organizations. This research applies systems engineering analysis techniques—design structure matrix and clustering—to improve efficiency and effectiveness of organizational interactions between agencies as they deploy intelligent transportation systems (ITS) and attempt to integrate their operations. Specifically, this paper examines the application of clustering to the institutional structure set forth by the regional ITS architecture for metropolitan Seattle, Washington. Clustering of Seattle area organizations noted previously unidentified multilateral relationships that offer potential for more efficient interagency interactions and, ultimately by extension, delivery of more effective transportation services to users.

Design Structure Matrices to Improve Decentralized Urban Transportation Systems

Managing large, complex urban transportation systems involves numerous stakeholders because of decentralized ownership and operation of distinct pieces of the physical network and services. To deliver better service to users, many urban regions are adopting technological and operational solutions, both of which necessitate interaction among the decentralized organizations. This research applies systems engineering analysis techniques—design structure matrix and clustering—to improve efficiency and effectiveness of organizational interactions between agencies as they deploy intelligent transportation systems (ITS) and attempt to integrate their operations. Specifically, this paper examines the application of clustering to the institutional structure set forth by the regional ITS architecture for metropolitan Seattle, Washington. Clustering of Seattle area organizations noted previously unidentified multilateral relationships that offer potential for more efficient interagency interactions and, ultimately b...

Benefit and Cost Parameters of Intelligent Transportation Systems: Use in Evaluations of Deployment Analysis Systems in Florida

The Intelligent Transportation Systems (ITS) Deployment Analysis System (IDAS) is a sketch planning analysis tool that can be used to estimate the impacts and costs resulting from the deployment of ITS components. The program includes default values for the parameters required to calculate ITS deployment costs and benefits. IDAS allows users to override the default values of ITS device cost and benefit parameters, including unit cost estimates, cost assumptions, benefit module parameters, ITS impacts, and impact dollar values. On one hand, the use of cost and benefit parameter values that better represent the region under consideration is expected to produce better assessments of ITS deployment alternatives. On the other hand, collection of regional ITS cost and benefit parameters could be expensive, and some required parameters might not be available for the region under consideration. For this reason, IDAS users tend to use many of the program's default values in their analyses. This paper reports on th...

Benefit and Cost Parameters of Intelligent Transportation Systems

The Intelligent Transportation Systems (ITS) Deployment Analysis System (IDAS) is a sketch planning analysis tool that can be used to estimate the impacts and costs resulting from the deployment of ITS components. The program includes default values for the parameters required to calculate ITS deployment costs and benefits. IDAS allows users to override the default values of ITS device cost and benefit parameters, including unit cost estimates, cost assumptions, benefit module parameters, ITS impacts, and impact dollar values. On one hand, the use of cost and benefit parameter values that better represent the region under consideration is expected to produce better assessments of ITS deployment alternatives. On the other hand, collection of regional ITS cost and benefit parameters could be expensive, and some required parameters might not be available for the region under consideration. For this reason, IDAS users tend to use many of the program's default values in their analyses. This paper reports on the results of a project that was initiated by the Florida Department of Transportation to identify Florida-specific cost and benefit parameters for use as inputs to IDAS ITS alternative assessments in Florida. The paper also compares the results obtained by using these derived parameters with the results obtained by using the national defaults when a real world ITS deployment project is being evaluated. The produced cost estimate for this deployment project is also compared with the actual cost of the project.

Experience Implementing a User Service for Archived Intelligent Transportation Systems Data

In cooperation with the Oregon Department of Transportation (ODOT) and other regional partners, the Portland regional intelligent transportation systems (ITSs) data archive was recently inaugurated via a direct fiber-optic connection between ODOT and Portland State University (PSU). In July 2004, the Portland Regional Transportation Archive Listing was activated; it received 20-s data from the 436 inductive loop detectors composing the Portland area's advanced traffic management system. PSU is designated as the region's official data archiving entity, consistent with the ITS architecture being developed. This paper discusses the steps taken for successful implementation of the Portland region's functional ITS data archive and plans for development and expansion. Included is a discussion of the archive structure, data storage, data processing, and user interface. An experiment involving Metro, the Portland region's metropolitan planning organization, demonstrates that archived loop detector data can be use...

Experience Implementing a User Service for Archived Intelligent Transportation Systems Data

In cooperation with the Oregon Department of Transportation (ODOT) and other regional partners, the Portland regional intelligent transportation systems (ITSs) data archive was recently inaugurated via a direct fiber-optic connection between ODOT and Portland State University (PSU). In July 2004, the Portland Regional Transportation Archive Listing was activated; it received 20-s data from the 436 inductive loop detectors composing the Portland area's advanced traffic management system. PSU is designated as the region's official data archiving entity, consistent with the ITS architecture being developed. This paper discusses the steps taken for successful implementation of the Portland region's functional ITS data archive and plans for development and expansion. Included is a discussion of the archive structure, data storage, data processing, and user interface. An experiment involving Metro, the Portland region's metropolitan planning organization, demonstrates that archived loop detector data can be used to improve travel demand forecasts for the Portland region. The data archive will expand to include transit data, freeway incident data, city traffic signal data, and truck weigh-in-motion data.

Use of the National Architecture to Develop an Intelligent Transportation Systems Strategic Plan: Case Study for a Medium-Sized Area

A case study of use of the national architecture to develop an intelligent transportation system (ITS) strategic deployment plan for Chittenden County, Vermont, an area with a population of 140,000, is presented. Because the study was conducted after a mature version of the national architecture had been completed, every effort was made to take full advantage of the national architecture documents in developing the plan. This helped reduce significantly the amount of effort needed to complete the plan, while ensuring the interoperability of the systems to be deployed. In developing the plan, the most recent version of the ITS planning process, which is based on the “market package” concept, was followed. A quantitative, systematic procedure was used to screen and prioritize the market packages. A regional ITS architecture was then developed, and the selected packages were developed into a list of recommended projects for the region. The study clearly demonstrates the value of the national architecture. The architecture provided guidance in formulating an ITS vision for the region, formed the basis on which ITS packages were selected, and dramatically reduced the amount of effort needed to develop the regional architecture. The architecture’s market packages are shown to be applicable to medium-sized areas; however, they need to be implemented at a smaller scale than in larger metropolitan areas.

Developing Complex Integrated Computer Applications and Systems

The challenge of integrating multiple computer applications and systems is common in civil engineering. For example, civil engineers are working to integrate geographic information systems, database management systems, and hydraulic models for wastewater planning and design. This challenge also faces transportation engineers. Control systems, such as traffic signal systems and freeway management systems, play a central role in the intelligent transportation systems (ITS) program. While such systems provide benefit individually, their full benefit is not achieved until they are integrated regionally. Regional integration enables the systems to share information, allowing officials to manage the entire regional transportation system. Planning, designing, and developing integrated systems call for engineers to make sound computing decisions. The two critical areas in these decisions are the systems architecture and open systems design. For example, in ITS a sound regional architecture is needed to guide engineers in fitting individual systems into a regional context. In addition, individual systems must possess documented, publicly available interfaces. This paper addresses these aspects of computing and provides an example of developing integrated regional ITS.

Regional Intelligent Transportation Systems Architectures and the Competitive Region

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.

Framework for Developing a Regional System Architecture for Intelligent Transportation Systems

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.