Intelligent Transportation Systems
01 Jan 2018-pp 1-21
TL;DR: Intelligent transportation systems (ITSs) combine various technologies and services to optimize urban mobility and reduce both the financial and environmental damage caused by the demand for vehicles in urban centers.
Abstract: Transportation systems constitute an essential part of modern life and large urban centers. These systems have emerged as major players in enabling the mobility of not only vehicles but also people residing in cities, playing a part in all issues related to mobility within urban environments. Owing to the unprecedented growth of urban centers and the introduction of new services that have emerged as a result of technological advancements, these systems have been increasingly requiring considerable support to manage resources and vehicles. Transportation systems play a role in coordinating vehicle traffic and guaranteeing safety, which involves tackling many challenging issues commonly observed in large urban centers. The advancements and support of information and communication technologies have enabled the design and implementation of transportation solutions, which led to the development of intelligent transportation systems (ITSs) and the provision of many innovative services, such as those related to guaranteeing safety, providing useful information to drivers, enabling greater flow of movement on streets, and avoiding congestion. ITSs combine various technologies and services to optimize urban mobility and reduce both the financial and environmental damage caused by the demand for vehicles in urban centers. This chapter describes the fundamental concept of ITSs in the context of big cities.
Citations
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01 Oct 2020
TL;DR: This work modeled an ensemble of classifiers to estimate the congestion level using TRAFFIC, and advanced the state of the art with new contributions as follows: increase in the success rate for estimating the traffic congestion level, and reduction in travel time, fuel consumption and CO2 emission of the vehicle.
Abstract: One of the main challenges in urban development faced by large cities is related to traffic jam. Despite increasing efforts to maximize the vehicle flow in large cities, to provide greater accuracy to estimate the traffic jam and to maximize the flow of vehicles in the transport infrastructure, without increasing the overhead of information on the control-related network, still consist in issues to be investigated. Therefore, using artificial intelligence method, we propose a solution of inter-vehicle communication for estimating the congestion level to maximize the vehicle traffic flow in the transport system, called TRAFFIC. For this, we modeled an ensemble of classifiers to estimate the congestion level using TRAFFIC. Hence, the ensemble classification is used as an input to the proposed dissemination mechanism, through which information is propagated between the vehicles. By comparing TRAFFIC with other studies in the literature, our solution has advanced the state of the art with new contributions as follows: (i) increase in the success rate for estimating the traffic congestion level; (ii) reduction in travel time, fuel consumption and CO2 emission of the vehicle; and (iii) high coverage rate with higher propagation of the message, maintaining a low packet transmission rate.
27 citations
25 May 2020
TL;DR: The policy is devised following a decentralized design, being flexible and capable of providing transparent flow management to users while maintaining continuous service access, and reduces the delay of information exchange, decreases handover time, and maximizes the input of information.
Abstract: Intelligent Transport Systems rely extensively on the proper management of vehicular resources, as well as the underlying vehicular communication Services and applications are made accessible through the communication of vehicles, which is expected to happen without any interruption; however, the high mobility of vehicles is detrimental towards their connectivity and communication stability In this highly dynamic and heterogeneous vehicular scenario, we assume the existence of multiple communication interfaces and high movement speed of nodes Thus, we propose the development of a flow mobility management policy The policy is devised following a decentralized design, being flexible and capable of providing transparent flow management to users while maintaining continuous service access We conducted experimental simulations for evaluating the proposed architecture, as well as making performance comparisons with three related flow management works The results showed that the proposed policy reduces the delay of information exchange to approximately 50 ms, decreases handover time (05s), and maximizes the input of information around 95%
01 Jan 2022
References
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TL;DR: The scope of this article is to introduce novel functionality for providing knowledge to vehicles, thus jointly managing traffic and safety and to issue directives to the drivers and the overall transportation infrastructure valuable in context handling.
Abstract: The increasing need for mobility has brought about significant changes in transportation infrastructures. Inefficiencies cause enormous losses of time, decrease in the level of safety for both vehicles and pedestrians, high pollution, degradation of quality of life, and huge waste of nonrenewable fossil energy.The scope of this article is to introduce novel functionality for providing knowledge to vehicles, thus jointly managing traffic and safety. This will be achieved through the design of the proposed functionality, which, at a high level, will comprise (1) sensor networks formed by vehicles of a certain vicinity that exchange traffic-related information, (2) cognitive management functionality placed inside the vehicles for inferring knowledge and experience, and (3) cognitive management functionality in the overall transportation infrastructure. The goal of the aforementioned three main components shall be to issue directives to the drivers and the overall transportation infrastructure valuable in context handling.
844 citations
TL;DR: A novel multilayered vehicular data cloud platform is presented by using cloud computing and IoT technologies to resolve the challenges caused by the increasing transportation issues.
Abstract: The advances in cloud computing and internet of things (IoT) have provided a promising opportunity to resolve the challenges caused by the increasing transportation issues. We present a novel multilayered vehicular data cloud platform by using cloud computing and IoT technologies. Two innovative vehicular data cloud services, an intelligent parking cloud service and a vehicular data mining cloud service, for vehicle warranty analysis in the IoT environment are also presented. Two modified data mining models for the vehicular data mining cloud service, a Naive Bayes model and a Logistic Regression model, are presented in detail. Challenges and directions for future work are also provided.
523 citations
01 Jul 2016
TL;DR: This work surveys VANETs focusing on their communication and application challenges, and discusses the protocol stack of this type of network, and provides a qualitative comparison between most common protocols in the literature.
Abstract: VANETs have emerged as an exciting research and application area. Increasingly vehicles are being equipped with embedded sensors, processing and wireless communication capabilities. This has opened a myriad of possibilities for powerful and potential life-changing applications on safety, efficiency, comfort, public collaboration and participation, while they are on the road. Although, considered as a special case of a Mobile Ad Hoc Network, the high but constrained mobility of vehicles bring new challenges to data communication and application design in VANETs. This is due to their highly dynamic and intermittent connected topology and different application's QoS requirements. In this work, we survey VANETs focusing on their communication and application challenges. In particular, we discuss the protocol stack of this type of network, and provide a qualitative comparison between most common protocols in the literature. We then present a detailed discussion of different categories of VANET applications. Finally, we discuss open research problems to encourage the design of new VANET solutions.
362 citations
TL;DR: The urban Internet infrastructure role in the support of emerging vehicular applications and the Core Internet services matching the services in the vehicle grid are identified and identified.
293 citations
TL;DR: The reported results show that the streets' layout, urban environment, traffic density, presence of heavy vehicles, trees, and terrain elevation have an effect on V2I communications, and should be taken into account to adequately deploy and configure urban RSUs.
Abstract: The future exploitation of cooperative vehicular services in urban environments, generally characterized by challenging propagation conditions, will require an efficient deployment of roadside units. This article presents the results of an extensive field testing campaign aimed at analyzing the impact of urban characteristics, RSU deployment conditions, and communication settings on the quality of IEEE 802.11p vehicle-to-infrastructure communications. The reported results show that the streets' layout, urban environment, traffic density, presence of heavy vehicles, trees, and terrain elevation have an effect on V2I communications, and should be taken into account to adequately deploy and configure urban RSUs.
272 citations