Guidelines for Funding Operations and Maintenance of Intelligent Transportation Systems/Advanced Traffic Management Systems

Author(s):  
Ginger Daniels ◽  
Tim Starr

As the deployment of intelligent transportation systems (ITS) technologies moves forward, the issue of sustaining and supporting traffic management systems after they have been constructed becomes increasingly critical. In the midst of limited funding, undocumented costs, competing maintenance needs, aging systems, and institutional barriers, the systems already under operation are struggling to meet the expectations conveyed during implementation. Planning for day-to-day performance and upkeep, despite the necessity, has been an unglamourous and apparently secondary consideration in the ITS implementation process. A well-run and well-maintained system not only serves the transportation system users as intended, but boosts the credibility of the program with the public. Conversely, systems that are plagued with inadequate staffing, persistent software bugs, and inoperable field devices will fail to provide high-performance services and will certainly tarnish the ITS initiative and the credibility of all transportation service providers. Quantifying and securing the funding necessary to operate and maintain ITS and advanced traffic management systems adequately is the first step, yet very little documentation is available to assist system operators. First, a mechanism is provided for estimating the costs required to operate and maintain ITS elements adequately; second, the funding issues are examined and guidelines are provided to address the obstacles that prevent adequate funding of traffic management operations and maintenance. Although the Texas Department of Transportation costs and procedures are examined, the research and recommendations will be useful to other state agencies.

2020 ◽  
Vol 12 (21) ◽  
pp. 8759 ◽  
Author(s):  
Nadia Karina Gamboa-Rosales ◽  
José María Celaya-Padilla ◽  
Ana Luisa Hernandez-Gutierrez ◽  
Arturo Moreno-Baez ◽  
Carlos E. Galván-Tejada ◽  
...  

According to the United Nations, 70% of the world’s population will live in cities by 2050. This growth will be reflected in the demand for better services that should be adjusted to the collective and individual needs of the population. Governments and organizations are working on defining and implementing strategies that will enable them to respond to these challenges. The main challenges are related to transport and its management, considering transportation as a core issue in the economy, sustainability, and development of the regions. In this way, the Intelligent Transportation Systems (ITS) play a key role in the response to these scenarios, being that they are the framework where the new hardware and software tools are integrated, allowing an efficient development of transportation systems management, attending to aspects such as: traffic management, communications between vehicles and infrastructures, and security, among others. Nevertheless, the concept of ITS evolves rapidly so it is necessary to understand its evolution. To do that, the current research develops a thematic analysis of ITS in literature, evaluating the intellectual structure and its evolution using SciMAT, quantifying the main bibliometric performance indicators, and identifying the main research areas, authors, journals, and countries. To this purpose, the publications related to ITS from 1993 to 2019 available in the Web of Science (WoS) Core Collection were retrieved (7649 publications) and analyzed. Finally, one of the main results is the latest research themes map of ITS, considering its intellectual structure, evolution, and relationship. It assists in the definition and implementation of strategies, the identification of the scientific, academic, and business opportunities, and future research lines to consolidate the role of ITS in the new city models.


Author(s):  
Michael D. Fontaine

Work zone intelligent transportation systems (WZITSs) are promoted as a way to improve safety and reduce congestion at work zone locations where traditional traffic management centers do not exist. These systems usually integrate portable changeable message signs and speed sensors with a central control system that automatically determines appropriate messages that are based on current traffic conditions. Manufacturers of these systems claim that WZITSs can warn drivers of downstream congestion, alert drivers to slower speeds ahead, and suggest alternate routes on the basis of prevailing conditions. Transportation agencies are often asked to make decisions on the installation of a WZITS without the benefit of objective information on its expected performance. Relatively few operational tests of these systems have been performed, and the results are not always well documented or conclusive. Agencies need guidance to help them determine whether a WZITS system would improve safety and operations at a specific site. Applications of WZITSs are reviewed, and a series of guidelines for their deployment, based on lessons learned from past tests, is presented.


1998 ◽  

Navigation and Intelligent Transportation Systems contains 40 papers covering the technical and functional aspects of these systems including: 3D mapping, route guidance, cellular phone access, electronic compasses, and the history and future of navigation systems. The book also covers the important role of navigation in Intelligent Transportation Systems concerned with traffic management, traveler information, vehicle control systems, commercial vehicle operations, and public and rural transportation systems. The book concludes with a chapter on the Intelligent Vehicle Initiative, a joint program between the National Highway Traffic Safety Administration, the Federal Highway Administration, and the Federal Transit Administration.


Intelligent Transportation Systems (ITS) is a modern approach in transportation engineering and management strategies of computer science, electronics and communication as it aims to provide advanced services in various methods of transport and traffic management systems. This helps the users to make safe, smart and efficient transport networks. Intelligent Transportation Systems (ITS) has a very wide application starting from traffic management to driver operation and vehicle control systems. Due to increase in vehicle production and world population leads to demand for more parking spaces and parking facilities. This problem is arising due to gap between demand and supply of parking spaces. The basic focus of this study is how to identify the exact location for parking the vehicle with the help of Arduino IDE software program. It will address the problems effectively associated with identification of parking slots and reaching parking places in urban areas. It informs and guide drivers to find limited number of parking spaces including their price in parking zones with in a shorter duration. Infrared sensors are also used to detect car parking slot occupancy. Smart Parking System (SPS) deals with identification of empty parking space, improper parking of vehicles and show the direction towards vacant parking slots. It also deals with digital payment facility. The ultimate focus of this is to identify the availability or non-availability of parking space.


2021 ◽  
Author(s):  
Abdul Saboor ◽  
Sander Coene ◽  
Evgenii Vinogradov ◽  
Emmeric Tanghe ◽  
Wout Joseph ◽  
...  

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.


Kybernetes ◽  
2020 ◽  
Vol 49 (11) ◽  
pp. 2799-2818 ◽  
Author(s):  
Nan Jiang ◽  
Erlin Tian ◽  
Fattaneh Daneshmand Malayeri ◽  
Alireza Balali

Purpose A fundamental concept of the smart city is to get the right information at the right place to make city-related decisions easier and quicker. The main goal of supply chain management (SCM) systems is to enhance the supply chain process for delivering the identified products to customers correctly in distributed organizations. In addition, new IT infrastructure such as cloud-based systems and internet of things (IoT) have changed many organizations and firms. Hence, this study aims to assess the factors that contribute to the success of SCM systems. Design/methodology/approach In this paper, the usage of urban knowledge, urban intelligent transportation systems and IT infrastructure was considered as a key factor for the success of SCM systems. For assessing the features of the model, a comprehensive questionnaire was designed. The survey questionnaires were sent to critical informers who are practical heads associated with SCM and urbanism. Of these, 315 usable responses were received, resulting in a response rate of 82.03%. The data were examined using Smart-PLS version 3.2 and IBM SPSS version 25. Findings The obtained results showed the high strength of the proposed model. This study found that the impact of urban ITS (safety, accessibility, information management and flexibility) is important to the success of supply chain management systems. Another important finding is that the cloud-based system (cloud security, resource virtualization, on-demand self-service and scalability) has a very important role in the success of supply chain management systems. The finding showed that the effect of IoT service variable (commercialization, mobility features, infrastructure capabilities and security and privacy) on the success of supply chain management systems is significant and positive. The findings also showed that urban knowledge (usage skills, awareness, experience and knowledge sharing) is viewed as a significant factor in the success of supply chain management systems. Research limitations/implications The inductive nature of research methodology has introduced limitations on the generalizability of results. Therefore, it is recommended to examine the validity of this research model in other supply chains. Practical implications The statistical results support the crucial role of urban knowledge, urban intelligent transportation systems, IoT services and cloud-based systems. Therefore, aspects relating to these factors must be the focus of attention of any distributed organization in their endeavor to develop supply chain management systems. Implementing cloud based IoT through accurate and timely availability of information, can predict forecasting and planning processes, resources, logistics and support, service management and spare parts and many sub-processes in the supply chain. These technologies allow organizations to invest in manufacturing and operating processes rather than paying for the software section, which will generate more cash flow. Originality/value One of the most crucial and fundamental parts of an organization’s management is the supply chain management. The department is responsible for coordinating all units from the initial stages, such as supplying materials to the final stages, such as delivery and after-sales service. Comprehensive and credible information platforms are essential for managing a supply chain. Therefore, it is important to use integrated information systems such as IoT, cloud computing, intelligent transportation systems and more in this part of the organization management. Covering this information in a timely and accurate manner will facilitate the process and make the process more transparent. For this purpose, a model is needed to determine the relationship between technologies and supply chain management, which this study has provided a comprehensive model.


2014 ◽  
Vol 945-949 ◽  
pp. 1789-1793 ◽  
Author(s):  
Wen Qian An ◽  
Xu Fang Bo ◽  
Chao Jia

With the rapid development of China's automobile industry, intelligent transportation systems have become an important means of modern traffic management. The paper analyzes the prospects for detection of several sports: frame difference method, optical flow method and the background model, and compared the effects of several methods of detection, using a strong adaptability to disturbance Gaussian mixture background model to detect moving targets. Then the detected motion foreground image OTSU threshold, using morphological methods de-noising and holes filled, get a complete moving target. In this paper, the characteristics of the target shadow and existing methods are analyzed, using a shadow removal method based on color features.


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