365 resources related to Smart Transportation
- Topics related to Smart Transportation
- IEEE Organizations related to Smart Transportation
- Conferences related to Smart Transportation
- Periodicals related to Smart Transportation
- Most published Xplore authors for Smart Transportation
The PCIC provides an international forum for the exchange of electrical applications technology related to the petroleum and chemical industry. The PCIC annual conference is rotated across North American locations of industry strength to attract national and international participation. User, manufacturer, consultant, and contractor participation is encouraged to strengthen the conference technical base. Success of the PCIC is built upon high quality papers, individual recognition, valued standards activities, mentoring, tutorials, networking and conference sites that appeal to all.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
The European Energy Market is the international conference dealing with energy markets and operation of power systems in the competitive environment. The scope of the conference includes:electricity market design, regulation and monitoring;technical aspects of electricity market operation, operation, modelling, forecasting and simulation of commodity, technical and financial markets;implementation of the European energy and climate policy;infrastructure development and asset management;presence and future of gas and coal markets;Operation, modeling, forecasting and simulation of commodity;Technical and financial markets
The purpose of the conference is to provide an international forum for researchers and professionals interested in electrical and electronic engineering, information and communication technologies as well as interdisciplinary areas with the main attention to the conference topics.
The technical scope of VTC2018-Spring includes:Ad-hoc, Mesh, and Sensor NetworksAntennas and Propagation and RF DesignCognitive Radio and Spectrum SensingCooperative Communications, Distributed MIMO and RelayingMobile Networks, Applications and ServicesMultiple Antenna Systems and ServicesSatellite Networks, Positioning Technologies, Localization and NavigationTransmission Technologies and Communication TheoryTransportation, Vehicular Networks, and Vehicular Electronics and Telematics; Wireless AccessWireless Networks and SecurityHealth, Body-Area and Medical Device NetworksGreen NetworksMedium access control and routing protocolsNarrowband, wideband and ultra-widebandPHY and MAC layer designChannel modeling, equalization, synchronization, modulation and codingOFDM, CDMA, WiMAXLTE AdvancedITS, Car-to-car, and Car-to-X
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...
The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes
EEE Embedded Systems Letters seeks to provide a forum of quick dissemination of research results in the domain of embedded systems with a target turn-around time of no more than three months. The journal is currently published quarterly consisting of new, short and critically refereed technical papers. Submissions are welcome on any topic in the broad area of embedded systems ...
2016 International Conference on ICT in Business Industry & Government (ICTBIG), 2016
In the current era of information technology, data driven decision is widely recognized. It leads to involvement of the term “Big Data”. The use of IOT and ICT deployment is a key player of the smart city project in India. It leads to smart transportation systems with huge amounts of real time data that needs to be communicated, aggregated, interpreted, ...
2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2017
IoT is a revolutionary technology that aims to make every single device internet ready. Its concept revolves around integrating various technologies to build M2M interaction possible rather than U2M interaction. Smart city is a broader vision that aims to uplift the quality of life of every individual by integrating modern Information and Communication Technology(ICT) and internet of things. Devices used ...
TENCON 2017 - 2017 IEEE Region 10 Conference, 2017
The traditional traffic speed measuring radar of FSK mode has inherent disadvantages that it cannot identify moving targets with the same speed. So in practical applications, we need to install the radar sensor in each lane for accurate measurements and tracking. In this paper, we put forward a new method to detect and track multiple targets using only one radar ...
2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017
Smart, intuitive and efficient transportation system is crucial for smart cities. A smart solution to transform the existing public transportation infrastructure is proposed here. Internet of Things (IoT) based hardware modules needed for implementation are discussed. Dijkstra's algorithm for shortest path has been modified to incorporate traffic conditions and additional features. The proposed algorithm is evaluated for various scenarios and ...
2016 Digital Media Industry & Academic Forum (DMIAF), 2016
Digital media covers larger parts of our daily lives nowadays. Mobile services enable a better connected society where citizens can easily access public services, discover events, and obtain important information in the city. We observe the popularity of mobile car sharing applications, such as Uber and Didi Dache. Mobile social applications provide new ways of developing and optimizing public transportation. ...
Transportation Electrification: Smart Grids and Sustainable Generation
Transportation Electrification: San Diego Gas & Electric's Implementation of the SmartGrid
Marin Litoiu: Beyond Network Control - End to End Performance of CPS: WF IoT 2016
Smart Cities and IEEE's Future Directions
Levente Klein: Drone-based Reconstruction for 3D Geospatial Data Processing: WF-IoT 2016
Automated Driving: What’s Next? - Seval Oz, Fog World Congress 2017
Innovative Wireless Technologies for Healthcare, VR, and Smart Cities - Dina Katabi - Brooklyn 5G Summit 2018
How will 5G drive the self-driving car? Challenges from a V2X solution provider's point of view - Jozsef Kovacs: Brooklyn 5G Summit 2017
Transportation Electrification: New Stage, New Demand: Transportation in China
Transportation Electrification: Connected Vehicle Environment
ITEC 2014: Global Advances in Electrified Public Transportation- eBuses and eTaxi Take to the Roads
The Future of Transportation Safety
Smart Grid Vehicular Technology Vision: Possibility and Feasibility of Smart Community from Case Studies - Hiroaki Nishi
An Open Innovation Initiative
TechNews: Smart Cities Special Report
IEEE SMART GRID
Wireless Charging Systems for EVs
Global Distribution Systems for the Smart Grid: Gordon Day
IEEE Smart Grid World Forum - Klaus Kleinekorte
In the current era of information technology, data driven decision is widely recognized. It leads to involvement of the term “Big Data”. The use of IOT and ICT deployment is a key player of the smart city project in India. It leads to smart transportation systems with huge amounts of real time data that needs to be communicated, aggregated, interpreted, analyzed and maintained. These technologies enhance the effective usage of smart transportation systems, which is economical and has a high social impact. Social applications like transportation can be benefited by using IOT, ICT and big data analytics to give better prediction. In this paper, we present how big data analytics can be used to build a smart transportation system. Increasing traffic and frequent jams in today's scenario are becoming a routine, citizens are facing various health issues due to the bad transportation systems such as high blood pressure, stress, asthma due to air and noise pollution. In smart transportation mobility can be easily implemented as most of the citizens use smartphones. It can be easily linked to smart traffic signals to achieve the objective of smart transportation. Smart transportation is a key component to attract companies as it leads to better services, business planning, support beneficial environment and social behavior.
IoT is a revolutionary technology that aims to make every single device internet ready. Its concept revolves around integrating various technologies to build M2M interaction possible rather than U2M interaction. Smart city is a broader vision that aims to uplift the quality of life of every individual by integrating modern Information and Communication Technology(ICT) and internet of things. Devices used in smart city can generate huge amount of data that must be properly collected, routed and stored to perform further analysis on it. Hence data collection is an important aspect in building smart city. In this paper, we have discussed about various ways of data collection in smart transportation, one of the domain of smart city.
The traditional traffic speed measuring radar of FSK mode has inherent disadvantages that it cannot identify moving targets with the same speed. So in practical applications, we need to install the radar sensor in each lane for accurate measurements and tracking. In this paper, we put forward a new method to detect and track multiple targets using only one radar sensor by establishing a spatial model and analyzing characteristics of radar data between two adjacent frames. Meanwhile, we analyze the problems that may be encountered in practice when using this method and provide solutions. In the end, the feasibility of the method is verified by simulation.
Smart, intuitive and efficient transportation system is crucial for smart cities. A smart solution to transform the existing public transportation infrastructure is proposed here. Internet of Things (IoT) based hardware modules needed for implementation are discussed. Dijkstra's algorithm for shortest path has been modified to incorporate traffic conditions and additional features. The proposed algorithm is evaluated for various scenarios and results are presented.
Digital media covers larger parts of our daily lives nowadays. Mobile services enable a better connected society where citizens can easily access public services, discover events, and obtain important information in the city. We observe the popularity of mobile car sharing applications, such as Uber and Didi Dache. Mobile social applications provide new ways of developing and optimizing public transportation. In this paper, we present a mobile platform for timetable-free traveling. It can capture the traffic demand of citizens in real-time, and support efficient planning and scheduling for vehicles on- demand. At the moment, the platform is targeted for public bus services, but it has great potential to be extended for self-driving vehicles in the future.
Recent technology advances significantly push forward the development and the deployment of the concept of smart, such as smart community and smart city. Smart transportation is one of the core components in modern urbanization processes. Under this context, the connected autonomous vehicle (CAV) system presents a promising solution towards the enhanced traffic safety and mobility through state-of-the-art wireless communications and autonomous driving techniques. Being capable of collecting and transmitting real-time vehicle- specific, location-specific, and area-wide traffic information, it is believed that CAV-enabled transportation systems will revolutionize the existing understanding of network-wide traffic operations and reestablish traffic flow theory. This paper develops a new continuum dynamics model for the future CAV- enabled traffic system, realized by encapsulating mutually-coupled vehicle interactions using virtual internal and external forces. Leveraging Newton's second law of motion, our model naturally preserves the traffic volume and automatically handles both the longitudinal and lateral traffic operations due to its 2-D nature, which sets us apart from the existing macroscopic traffic flow models. Our model can also be rolled back to handle the conventional traffic of human drivers, and the experiment shows that the model describes real-world traffic behavior well. Therefore, we consider the proposed model a complement and generalization of the existing traffic theory. We also develop a smoothed particle hydrodynamics-based numerical simulation and an interactive traffic visualization framework. By posing user-specified external constraints, our system allows users to visually understand the impact of different traffic operations interactively.
World population growing in conjunction with the preference to live in the cities; make the city management a challenging issue. Traditional Cities with their common features will not be able to handle the human needs. As a result, smart city and its beneficial outcomes will attract a lot of attention recently. In fact, Smart city/community that is the field of collecting and processing data from so many different areas while making proper decisions and feeding to all parts of the system will be the future style of the cities. In other words, smart community is a complex big data problem which should combine different fields of research to make a unit environment. This brief survey will deal with all aspects of the smart communities. There will also be explained different categories of the smart communities in addition to their future challenges. In this work we try to introduce some aspects of the smart transportation in more detail.
The rapid growth in the population density in urban cities and the advancement in technology demands real-time provision of services and infrastructure. Citizens, especially travelers, want to be reached within time to the destination. Consequently, they require to be facilitated with smart and real- time traffic information depending on the current traffic scenario. Therefore, in this paper, we proposed a graph-oriented mechanism to achieve the smart transportation system in the city. We proposed to deploy road sensors to get the overall traffic information as well as the vehicular network to obtain location and speed information of the individual vehicle. These Internet of Things (IoT) based networks generate enormous volume of data, termed as Big Data, depicting the traffic information of the city. To process incoming Big Data from IoT devices, then generating big graphs from the data, and processing them, we proposed an efficient architecture that uses the Giraph tool with parallel processing servers to achieve real-time efficiency. Later, various graph algorithms are used to achieve smart transportation by making real-time intelligent decisions to facilitate the citizens as well as the metropolitan authorities. Vehicular Datasets from various reliable resources representing the real city traffic are used for analysis and evaluation purpose. The system is implemented using Giraph and Spark tool at the top of the Hadoop parallel nodes to generate and process graphs with near real-time. Moreover, the system is evaluated in terms of efficiency by considering the system throughput and processing time. The results show that the proposed system is more scalable and efficient.
This paper proposes an approach that identifies the flows of people from collected GPS data. This in turn enables us to compute significant parameters, such as people average speed, amount of travelling people, etc. A proper solution for data filtering and analysis has been implemented and tested against real data, which reduces as much as possible running time by lowering the number of needed comparisons. The ability to gain insights on people flows can have many outcomes in the area of smart transportation, e.g. the efficacy of transportation means can be assessed, then potential improvements can be suggested on public transportation means, infrastructures, etc.
In this paper, an event-oriented modeling methodology for agent-based smart transportation systems supported by the n-LNS Petri net formalism is proposed. The methodology allows modeling and incorporating capabilities of smart transportation systems as well as modeling smart transportation systems as an event-oriented system of systems. The proposed framework makes use of three hierarchical levels of abstraction to describe smart transportation systems: (i) the highest level models a transportation network; (ii) the middle level models agents (e.g., cars); and (iii) the lowest level models individual agent behaviors (e.g., driving behaviors). In doing so, the components of an agent- based smart transportation system and their concurrent interrelationships are formally defined, which enables the quantitative evaluation of smart transportation systems by performing discrete-event simulations.
No standards are currently tagged "Smart Transportation"