scholarly journals Multi-Factor Taxonomy of Eco-Routing Models and Future Outlook

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Lama Alfaseeh ◽  
Bilal Farooq
Keyword(s):  
Research Work ◽  
Transportation Systems ◽  
Microscopic Level ◽  
Intelligent Vehicles ◽  
Environmental Aspects ◽  
Fuel Models ◽  
Emission Models ◽  
Level Of Aggregation ◽  
Near Future ◽  
Large Case

Traditionally, routing decisions have been based on minimizing travel time as the associated cost. Eco-routing considers the environmental aspects (e.g., emissions and fuel) as part of the travel cost to mitigate the undesirable impact of transportation systems on the environment. Unlike the existing eco-routing review papers, this research work is aimed at providing a three-factor taxonomy at a more disaggregated level from the optimization perspective and map eco-routing studies to the proposed taxonomy. Furthermore, the strengths and weaknesses of the presented models are summarized. Our main findings include (a) a majority of studies optimized one objective at a time; (b) the microscopic level of aggregation of the flow and emission/fuel models was rarely employed for large case studies, due to the associated complexity; and (c) all of the reviewed studies were applied in a centralized routing system environment. In the near future, when intelligent vehicles will be on the roads, a multi-objective distributed routing framework can be employed with a microscopic level of aggregation for both traffic and emission models, which is capable of operating on largescale networks in real time. Additionally, short-term spatiotemporal prediction of GHG cost is a crucial aspect to be tackled.

Mobile Enabled RFID-GPS Based Bus Tracking System

2014 ◽  
Vol 6 (4) ◽  
pp. 10-34 ◽  
Author(s):  
Suresh Sankaranarayanan ◽  
Paul Hamilton
Keyword(s):  
Public Transportation ◽  
Tracking System ◽  
Research Work ◽  
Transportation Systems ◽  
Urban Transport ◽  
Time Of Arrival ◽  
Rfid Technology ◽  
Arrival Times ◽  
Traffic Lights ◽  
Bus Stops

Public transportation in many countries is being used as a means of transport for travelling and accordingly people would prefer these public transportation to be scheduled properly, on time and the frequency be adequately fixed for commuters to make good use of it. It has been found that quite an amount of research work has been carried out, by way of using RFID technology in the public transportation systems towards the tracking of passengers when they board and exit buses. In addition research has also been carried out in using GPS towards the tracking of buses along with RFID technology at traffic lights, bus stops, intersections etc and also displaying expected arrival times on LCD screen at bus stops along with their current positions. Taking these aspects into consideration, an intelligent mobile bus tracking system for the Jamaican Urban Transport Corporation has been proposed and validated as a case study. The proposed system also enables commuters towards tracking the bus of their choice and also knowing their expected arrival times. So taking the above aspects into consideration, in this research the authors have proposed and validated on how control center of a bus company could track the location of a bus based on information received from RFID reader and GPS Transmitter positioned at various Bus stops and in the Bus and accordingly the expected time of arrival calculated for displaying the information on commuter's handset via Gmap. The implementation of the bus tracking scheme has been carried out using Adobe Flash player and Java.

scholarly journals A Study on User Recognition Using 2D ECG Image Based on Ensemble Networks for Intelligent Vehicles

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Min-Gu Kim ◽  
Hoon Ko ◽  
Sung Bum Pan
Keyword(s):  
Recognition Rate ◽  
Recognition System ◽  
Wearable Devices ◽  
Intelligent Vehicles ◽  
Point Method ◽  
Fiducial Point ◽  
Smart Cars ◽  
Near Future ◽  
User Recognition ◽  
Smart Vehicle

IoT enabled smart car era is expected to begin in the near future as convergence between car and IT accelerates. Current smart cars can provide various information and services needed by the occupants via wearable devices or Vehicle to Everything (V2X) communication environment. In order to provide such services, a system to analyze wearable device information on the smart car platform needs to be designed. In this paper a real time user recognition method using 2D ECG (Electrocardiogram) images, a biometric signal that can be obtained from wearable devices, will be studied. ECG (Electrocardiogram) signal can be classified by fiducial point method using feature points detection or nonfiducial point method due to time change. In the proposed algorithm, a CNN based ensemble network was designed to improve performance by overcoming problems like overfitting which occur in a single network. Test results show that 2D ECG image based user recognition accuracy improved by 1%~1.7% for the fiducial point method and by 0.9%~2% for the nonfiducial point method. By showing 13% higher performance compared to the single network in which recognition rate reduction occurs because similar characteristics are shown between classes, capability for use in a smart vehicle platform based user recognition system that requires reliability was demonstrated by the proposed method.

Research on Electric Linear Compressor for New Energy Vehicles

2011 ◽  
Vol 383-390 ◽  
pp. 5470-5473
Author(s):  
Yan Shi ◽  
Zong Li Li
Keyword(s):  
High Efficiency ◽  
Research Work ◽  
Structure Design ◽  
Low Friction ◽  
Compact Structure ◽  
Linear Compressor ◽  
New Energy ◽  
Air Brake System ◽  
Near Future ◽  
New Energy Vehicles

New energy vehicles have bright prospect in the near future. In new energy vehicles some parts which are driven by engine through transmission will be replaced by electric drive, such as refrigeration compressor used for air conditioning and air compressor used for air brake system. Because of advantages, such as high efficiency, low friction, compact structure, and so on, linear compressor is suitable to solve above problems. In this paper a novel electric linear compressor is presented. Research work, such as simulation, structure design, control design, has been done. Further experiments are being done by my research team. We believe that electric linear compressor is worthy of being researched to popularize new energy vehicles.

Structural Integrity Demonstration of High Burnup Fuel Rod

2006 ◽  
Author(s):  
Tong Liu ◽  
Danrong Song ◽  
Hua Zhao ◽  
Kaiming Wang
Keyword(s):  
Structural Integrity ◽  
Design Criterion ◽  
Current Status ◽  
Design Codes ◽  
Fuel Rod ◽  
Fuel Models ◽  
High Burnup ◽  
Near Future

This paper introduces the current status and the work has been done for structural integrity demonstration of high burnup fuel in China. The FRAMATOME ANP COCCINEL, FLAMBE and MISTIGRI design codes are used in the structural integrity demonstration of fuel rod. This paper presents the results of structural integrity demonstration of AFA3G fuel rod in GNPS. All the design criterion are met. Based on CAFA program, the new fuel models are planning to be developed in the near future.

scholarly journals Field Experience of the Sequential Combustion System for the GT24/GT26 Gas Turbine Family

1998 ◽  
Author(s):  
Franz Joos ◽  
Philipp Brunner ◽  
Marcel Stalder ◽  
Stefan Tschirren
Keyword(s):  
Gas Turbine ◽  
Research Work ◽  
Basic Research ◽  
Test Facility ◽  
Test Results ◽  
Combustion System ◽  
System A ◽  
Commercial Operation ◽  
Near Future

The first units of the Sequential Combustion System gas turbine family are in commercial operation. The first gas turbine GT24 (60Hz, 165MW-class) started the commercial operation, while the first GT26 (50Hz, 265MW-class) demonstrates its performance at the GT test facility. More engines are presently in the commissioning phase or will be in the near future. These turbines are designed to offer increased output at high GT efficiency. To acheive this, the sequential combustion system, a reheat process with two combustors, has been developed. Whereas the first combustor is based on the proven EV-combustor technology, extensive research and development efforts have been carried out in developing the lean premixed self-igniting second combustor (SEV). This paper is a follow-up of the ASME paper 96-GT-315, which described the basic research work concerning the lean premixing SEV-burners with self-ignition. The present paper reports the experience gained during commissioning of the first engines. The performance of the two combustors, as well as the measured emissions, are discussed and compared with the expected values and rig test results. Finally, the potential of the sequential combustion system to reach low NOx levels is demonstrated by unveiling the results of the extensive testing program during the commissioning phase.

scholarly journals Radio Galaxies - The TeV Challenge

2018 ◽  
Author(s):  
Bindu Rani
Keyword(s):  
Gamma Ray ◽  
Radio Galaxies ◽  
High Energy ◽  
Energy Emission ◽  
Long Baseline ◽  
Multi Wavelength ◽  
Emission Models ◽  
Radiation Processes ◽  
High Energy Emission ◽  
Near Future

Over the past decade, our knowledge of the $\gamma$-ray sky has been revolutionized by ground- and space-based observatories by detecting photons up to several hundreds of tera-electron volt (TeV) energies. A major population of the $\gamma$-ray bright objects are active galactic nuclei (AGN) with their relativistic jets pointed along our line-of-sight. Gamma-ray emission is also detected from nearby mis-aligned AGN such as radio galaxies. While the TeV-detected radio galaxies ($TeVRad$) only form a small fraction of the $\gamma$-ray detected AGN, their multi-wavelength study offers a unique opportunity to probe and pinpoint the high-energy emission processes and sites. Even in the absence of substantial Doppler beaming $TeVRad$ are extremely bright objects in the TeV sky (luminosities detected up to $10^{45}~erg~s^{-1}$), and exhibit flux variations on timescales shorter than the event-horizon scales (flux doubling timescale less than 5 minutes). Thanks to the recent advancement in the imaging capabilities of high-resolution radio interferometry (millimeter very long baseline interferometry, mm-VLBI), one can probe the scales down to less than 10 gravitational radii in $TeVRad$, making it possible not only to test jet launching models but also to pinpoint the high-energy emission sites and to unravel the emission mechanisms. This review provides an overview of the high-energy observations of $TeVRad$ with a focus on the emitting sites and radiation processes. Some recent approaches in simulations are also sketched. Observations by the near-future facilities like Cherenkov Telescope Array, short millimeter-VLBI, and high-energy polarimetry instruments will be crucial for discriminating the competing high-energy emission models.

scholarly journals 6G- Enabled Smart City Networking Model Using Lightweight Security Module

2021 ◽  
Author(s):  
M. M. Kamruzzaman
Keyword(s):  
Resource Allocation ◽  
Intelligent Transportation Systems ◽  
Smart City ◽  
Smart Cities ◽  
Research Work ◽  
Transportation Systems ◽  
Sixth Generation ◽  
Security Module ◽  
Distributed Networking ◽  
Technological Improvements

Abstract Smart cities use lightweight security module technologies like sixth-generation (6G) and wireless connections to improve people's quality of life. A smart city can use a networking model to power and monitor many geographically distributed networking models to support various applications like energy and resource management, intelligent transportation systems, and e-health. To manage smart city resources efficiently and intelligently, a significant state architecture must service various technologies due to the enormous development in networking models and the amount of data they generate. This research work presents a smart city networking architecture for smart city environments employing the lightweight security module (SCNM-LSM) in this work in progress article. It first offers a new conceptual framework termed the conventional model for activity off-loading and resource allocation. Second, it enhances the standard model by including off-loading and resource allocation awareness. It expands on the specific research topics to create and study the effectiveness of individual components with the previous models to accommodate technological improvements like the use of Artificial Intelligence (AI) in the sixth generation data transmission technology.

Modal Emissions Modeling: A Physical Approach

1996 ◽  
Vol 1520 (1) ◽  
pp. 81-88 ◽  
Author(s):  
Matthew Barth ◽  
Feng An ◽  
Joseph Norbeck ◽  
Marc Ross
Keyword(s):  
Intelligent Transportation Systems ◽  
Transportation Systems ◽  
Control Measures ◽  
Mobile Source ◽  
Alternative Fuel Vehicles ◽  
Modeling Approach ◽  
Emissions Modeling ◽  
Vehicle Operation ◽  
Wide Range ◽  
Emission Models

Mobile source emission models currently used by state and federal agencies (e.g., Environmental Protection Agency's MOBILE and California Air Resources Board's EMFAC) are often inadequate for analyzing the emissions impact of various transportation control measures, intelligent transportation systems, alternative fuel vehicles, and more sophisticated inspection/maintenance programs contained in most state air quality management plans. These emission models are based on the assumption that vehicle running exhaust emissions can be represented as integrated values for a specific driving cycle, and then later adjusted by speed correction factors. What is needed in addition to these “regional-type” mobile source models is an emissions model that considers at a more fundamental level the modal operation of a vehicle (i.e., emissions that directly relate to vehicle operating modes such as idle, steady-state cruise, various levels of acceleration/deceleration, and so forth). A new modal-emissions modeling approach that is deterministic and based on analytical functions that describe the physical phenomena associated with vehicle operation and emissions productions is presented. This model relies on highly time-resolved emissions and vehicle operation data that must be collected from a wide range of vehicles of varying emission control technologies. Current emission modeling techniques are discussed and the modeling approach and implementation plan for a new, three-year NCHRP Project entitled “Development of a Modal Emissions Model” are described.

VANET Routing and Trust Model Evaluation Using Artificial Bee Colony Algorithm

2017 ◽  
Vol 7 (7) ◽  
pp. 182
Author(s):  
. Rakhi ◽  
G. L Pahuja
Keyword(s):  
Ad Hoc ◽  
Intelligent Transportation System ◽  
Trust Model ◽  
Modern Technology ◽  
Intelligent Vehicles ◽  
Bee Colony ◽  
Vehicle To Vehicle ◽  
Trust Models ◽  
Near Future ◽  
Smart Vehicle

Vehicular ad-hoc network contains of very intelligent vehicles on the pathways and give communication service to the dives in the network or can connect with the roadside devices. In the near future it will provide many service and fast delivery of information with minimal delay. It is the modern technology which is mixing the wireless networking to vehicles. The main goal of the VANET system is to provide uninterrupted connectivity to the vehicular users on road, smart vehicle to vehicle interaction without any interruptions is known as intelligent transportation system (ITS). In this paper, we present a review on the VANET, its trust issues, how routing is done in VANET. Different routing and the type of trust models with which routing takes place are discussed. Comparison of parameter such as throughput, bit-error rate and delay are done on the basis of, with optimization and without optimization according to number of rounds.

Proactive Decision Making for ITS Communication

2020 ◽  
pp. 197-226 ◽  
Author(s):  
Rodrigo Silva ◽  
Christophe Couturier ◽  
Thierry Ernst ◽  
Jean-Marie Bonnin
Keyword(s):  
Decision Making ◽  
Traffic Control ◽  
Intelligent Transportation Systems ◽  
Transportation Systems ◽  
Network Resources ◽  
Communication Architecture ◽  
Cooperative Vehicles ◽  
Near Future ◽  
Cooperative Intelligent Transportation Systems ◽  
Exchange Data

Demand from different actors for extended connectivity where vehicles can exchange data with other vehicles, roadside infrastructure, and traffic control centers have pushed vehicle manufacturers to invest in embedded solutions, which paves the way towards cooperative intelligent transportation systems (C-ITS). Cooperative vehicles enable the development of an ecosystem of services around them. Due to the heterogeneousness of such services and their specific requirements, as well as the need for network resources optimization for ubiquitous connectivity, it is necessary to combine existing wireless technologies, providing applications with a communication architecture that hides such underlying access technologies specificities. Due to vehicles' high velocity, their connectivity context can change frequently. In such scenario, it is necessary to take into account the short-term prevision about network environment; enabling vehicles proactively manage their communications. This chapter discusses about the use of near future information to proactive decision-making process.

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