Intelligent Transportation Systems and Sustainable Communities: Findings of a National Study

Author(s):  
Daniel R. Jordan ◽  
Thomas A. Horan

The 1990s may well be remembered as the decade in which the idea of sustainability took hold in government, business, academia, and popular culture. In the United States, concerns with sustainability have entered policy discussions at various levels of government and sectors of the economy. The application of the sustainability paradigm to transportation has coincided with the advent of intelligent transportation systems (ITS). ITS—the application of advanced technologies (e.g., computers, communications, advanced sensors) to the surface transportation system—is a major new advanced transportation technology initiative that has become a highly touted prospect for improving the nation’s surface transportation system. ITS could have significant effects on the nation’s environment, economy, and society, and this has prompted widespread research and speculation on the range of potential ITS impacts. It has also brought ITS into the sustainability debate, and controversy exists over whether ITS will facilitate or undermine efforts to promote sustainable communities. A series of conceptual and applied exercises being done at the national level, as well as within Minnesota, on the implications of the sustainability paradigm on ITS are described. After the policy context surrounding ITS is introduced, key dimensions of the sustainability concept, particularly sustainable development and sustainable communities, are examined. The concept of sustainable communities is linked to transportation and ITS. In conclusion, findings on how ITS and other information technologies might promote sustainable communities are given, with special attention to the context of Minnesota’s ITS program.

Author(s):  
Kyu-Ok Kim ◽  
L. R. Rilett

In recent years, microsimulation has become increasingly important in transportation system modeling. A potential issue is whether these models adequately represent reality and whether enough data exist with which to calibrate these models. There has been rapid deployment of intelligent transportation system (ITS) technologies in most urban areas of North America in the last 10 years. While ITSs are developed primarily for real-time traffic operations, the data are typically archived and available for traffic microsimulation calibration. A methodology, based on the sequential simplex algorithm, that uses ITS data to calibrate microsimulation models is presented. The test bed is a 23-km section of Interstate 10 in Houston, Texas. Two microsimulation models, CORSIM and TRANSIMS, were calibrated for two different demand matrices and three periods (morning peak, evening peak, and off-peak). It was found for the morning peak that the simplex algorithm had better results then either the default values or a simple, manual calibration. As the level of congestion decreased, the effectiveness of the simplex approach also decreased, as compared with standard techniques.


Author(s):  
S. Gregory Hatcher ◽  
James A. Bunch ◽  
Donald L. Roberts

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.


2014 ◽  
Vol 624 ◽  
pp. 567-570
Author(s):  
Dan Ping Wang ◽  
Kun Yuan Hu

Intelligent Transportation System is the primary means of solving the city traffic problem. The information technology, the communication, the electronic control technology and the system integration technology and so on applies effectively in the transportation system by researching rationale model, thus establishes real-time, accurate, the highly effective traffic management system plays the role in the wide range. Traffic flow guidance system is one of cores of Intelligent Transportation Systems. It is based on modern technologies, such as computer, communication network, and so on. Supplying the most superior travel way and the real-time transportation information according to the beginning and ending point of the journey. The journey can promptly understand in the transportation status of road network according to the guidance system, then choosing the best route to reach destination.


Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6309
Author(s):  
Mohammad Peyman ◽  
Pedro J. Copado ◽  
Rafael D. Tordecilla ◽  
Leandro do C. Martins ◽  
Fatos Xhafa ◽  
...  

With the emergence of fog and edge computing, new possibilities arise regarding the data-driven management of citizens’ mobility in smart cities. Internet of Things (IoT) analytics refers to the use of these technologies, data, and analytical models to describe the current status of the city traffic, to predict its evolution over the coming hours, and to make decisions that increase the efficiency of the transportation system. It involves many challenges such as how to deal and manage real and huge amounts of data, and improving security, privacy, scalability, reliability, and quality of services in the cloud and vehicular network. In this paper, we review the state of the art of IoT in intelligent transportation systems (ITS), identify challenges posed by cloud, fog, and edge computing in ITS, and develop a methodology based on agile optimization algorithms for solving a dynamic ride-sharing problem (DRSP) in the context of edge/fog computing.These algorithms allow us to process, in real time, the data gathered from IoT systems in order to optimize automatic decisions in the city transportation system, including: optimizing the vehicle routing, recommending customized transportation modes to the citizens, generating efficient ride-sharing and car-sharing strategies, create optimal charging station for electric vehicles and different services within urban and interurban areas. A numerical example considering a DRSP is provided, in which the potential of employing edge/fog computing, open data, and agile algorithms is illustrated.


Frequenz ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Arun Kumar Singh ◽  
Arun Kumar ◽  
Samarendra Nath Sur ◽  
Rabindranath Bera ◽  
Bansibadan Maji

Abstract This article proposes a design and implementation of array Microstrip Patch antenna of configuration 2 × 2 at an operating frequency of 3.5 GHz. The proposed design takes a dimension of 80 mm × 92 mm × 1.6 mm with four radiating elements arranged in rectangular form with an optimized separation between the patches. All the radiating elements were connected through a corporate series network with an inset feed to have better impedance matching. The model gives an efficiency of 90.99% with a bandwidth of 510 MHz and with fractal configuration, the bandwidth further enhances to 1.12 GHz. The maximum gain measured was found as 11.01 dBi at θ = 10° and ɸ = 360° and 10.45 dBi with fractal configuration. The designed antenna is proposed to be used in RADAR which will be used in the intelligent transportation system for the detection of nearby (short-range) vehicles in the blind zone. This kind of Radar also finds its application in collision avoidance and activating airbags/break boosting and thus helping mankind by saving lives. The article gives an idea of the use of an array antenna in intelligent transportation system for better gain and efficient results.


Author(s):  
Ahmad Saifizul Abdullah ◽  
Kim Hai Loo ◽  
Noor Azuan Abu Osman ◽  
Mohd Zamri Zainon

Kawalan stereng automatik adalah satu komponen penting dalam pengautomatan lebuhraya, yang kini diselidik di seluruh dunia di bawah beberapa program Intelligent Transportation System (ITS). ITS berpotensi meningkatkan kapasiti lebuhraya yang sedia ada dengan penggunaan yang lebih selamat dan lebih efisien terhadap ruang yang sedia ada. Sistem ini akan terdiri daripada konsep pemanduan “hands–off” secara menyeluruh yang mana kenderaan akan dikawal secara automatik apabila ia memasuki sistem itu. Untuk mencapai objektif di atas, pengawal PID dan konsep dasar penglihatan ke atas sistem kawalan stereng automatik digunakan untuk membolehkan kenderaan menjejak rujukan di dalam pelbagai keadaan. Keputusan simulasi menunjukkan bahawa sistem kawalan yang dicadangkan mencapai objektifnya meskipun ia kurang lasak untuk mengekalkan prestasinya di dalam pelbagai keadaan. Kata kunci: Kawalan stereng automatik, dinamik kenderaan, sistem penglihatan, kawalan PID Automatic steering control is a vital component of highway automation, currently investigated worldwide in several Intelligent Transportation Systems (ITS) programs. The promise of Intelligent Transportation System lies in the possibility of increasing the capacity of existing highways by safer and more efficient use of available space. This system will include completely “hands–off” driving in which vehicles are fully automatically controlled once they enter the system. In order to achieve the above objective, the Proportional–Integral–Derivative (PID) controller and vision based concept to an automatic steering control system is used to cause the vehicle to track the reference under various conditions. Simulation results show that the proposed control system achieved its objective even though it is less robust in maintaining its performance under various conditions. Key words: Automatic steering control, vehicle dynamics, vision system, PID controller


2003 ◽  
Vol 30 (6) ◽  
pp. 955-969 ◽  
Author(s):  
Qoutaiba Al-Qaysi ◽  
Said M Easa ◽  
Nouman Ali

Recent advances in the fields of data communication and automated controls make the implementation of automated highway systems (AHSs) more possible. Currently, substantial research effort is being made on the design of intelligent transportation system (ITS) architectures in Europe, Japan, the United States, and Canada. These architectures, however, have major limitations inherit in the design methodology used. Most ITS developers use a process-oriented approach for the design of the architecture that reduces its quality attributes (stability and flexibility) to future changes. This paper presents an approach to implement object-oriented design methodology in the Canadian intelligent transportation system (C-ITS) architecture for AHS. It was also shown that the C-ITS architecture needs a backup communication system to be integrated within the C-ITS architecture. Such a backup system would aid the reliability of future transportation systems to be developed based on this architecture. The proposed C-ITS architecture promotes flexibility, stability, and communication and, as such, should be of interest to ITS developers and researchers.Key words: intelligent transportation systems, architecture, automated highways, object-oriented approach, backup communication.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Timothy C. Matisziw ◽  
Ashkan Gholamialam

AbstractCollecting and receiving information about the state of a transportation system is essential to effective planning for intelligent transportation systems, whether it be on the part of individual users or managers of the system. However, efforts to collect or convey information about a system’s status often require considerable investment in infrastructure/technology. Moreover, given variations in the development and use of transportation systems over time, uncertainties exist as to where and when demand for such services may be needed. To address these problems, a model for minimizing the cost of siting and/or collecting information while ensuring specified levels of demand are served at an acceptable level of reliability is proposed. To demonstrate the characteristics of the proposed formulation, it is coupled with another planning objective and applied to identify optimal sites for information provision/collection in a transportation system. Model solutions are then derived for multiple scenarios of system flow to explore how variations in the use of a transportation system can impact siting configurations.


Author(s):  
Jiří Jelínek ◽  
Jiří Čejka ◽  
Josef Šedivý

Intelligent transportation systems (ITS) are a today´s hot topic, especially in the context of the development of information technologies, which can be employed in transportation. Although the scope and the technical solution of these systems may vary, they are frequently based on VANET (Vehicular ad hoc network), i.e. a communication network, which is primarily generated among the moving subjects, which form ITS. Given the highly dynamic VANET, the questions are raised as to the data transmission. This paper is aimed to make a detail analysis of the communications within VANET using the simulation model, which includes the static infrastructure of ITS and to experimentally verify the impact of this infrastructure on the dynamics of information spreading in ITS. The authors present the results obtained from a few different scenarios, which have been tested.


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