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Considering the dynamic refueling behavior in locating electric vehicle charging stations

K. Liu, X.H. Sun
2014 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Based on the related research of refuelling behaviours and refuelling demands, this paper developed a new concept with dual objectives of minimum waiting time and maximum service accessibility for locating  ...  The proposed model has some obvious advantages and will help energy providers to make a viable plan for the network of EV charging stations.  ...  ACKNOWEGEMENT: Authors would like to acknowledge the funds supporting from NationalNatural Science Foundation of China (Grants No. 51378091) and the Fundamental Research Funds for the Central Universities  ... 
doi:10.5194/isprsannals-ii-2-41-2014 fatcat:bvrlvnronbdppcea4tgpepwmcu

Urban Computing

Yu Zheng, Licia Capra, Ouri Wolfson, Hai Yang
2014 ACM Transactions on Intelligent Systems and Technology  
Additionally, we usually need to harness a diversity of data sources in a single task. For instance, the aforementioned anomaly detection uses human mobility data, road networks, and social media.  ...  ., web search engines) that are based on a single (modal)-data/single-task framework (i.e., information retrieval from web pages), urban computing holds a multi(modal)-data/multitask framework.  ...  The multimodal data in urban computing scenarios leads to high dimensions of views, such as spatial, temporal, and social, for a visualization.  ... 
doi:10.1145/2629592 fatcat:no5gcshbmrdfphv6ewm6wdoewq

Planning of the Charging Station for Electric Vehicles Utilizing Cellular Signaling Data

Jianmin Jia, Chenhui Liu, Tao Wan
2019 Sustainability  
This paper investigated the large-scale CSD and illustrated the method to generate the 24-hour travel demand for each EV.  ...  The complete trip in a day for EV was reconstructed through merging the time sequenced trajectory derived from simulation.  ...  [25] proposed a multi-period multi-path refueling location model to capture the dynamics in the topological structure of the network. Yang et al.  ... 
doi:10.3390/su11030643 fatcat:rkbgxsrd6baz7al2ukmb2jvax4

Green Vehicle Routing Problem: State of the Art and Future Directions [article]

Saba Sabet, Bilal Farooq
2022 arXiv   pre-print
We envision that in addition to machine learning, reinforcement learning, distributed systems, the internet of vehicles (IoV), and new fuel technologies have a strong role in developing the GVRP research  ...  Green vehicle routing problem (GVRP) aims to consider greenhouse gas emissions reduction, while routing the vehicles.  ...  [38] considered the problem of locating electronic replenishment stations for electric vehicles on a traffic network with flow-based demand to optimize the network performance. Baouche et al.  ... 
arXiv:2202.01695v1 fatcat:jl2g6urupvgffnhsvfh2a2aupi

A complex network approach to understand commercial vehicle movement

Johan W. Joubert, Kay W. Axhausen
2012 Transportation  
and the provision of services is the result of supply meeting demand for commodities and services.  ...  We introduce complex network analysis and use a commercial vehicle's observed trip as a proxy for a business relation between two facilities in its activity chain.  ...  Acknowledgements Thank you to the anonymous reviewers for their valuable feedback and review comments.  ... 
doi:10.1007/s11116-012-9439-0 fatcat:nnhut6ggobgzbfywoh2ql2umt4

Autonomous Buoyancy-Driven Underwater Gliders [chapter]

Russ Davis, Charles Eriksen, Clayton Jones
2002 Technology and Applications of Autonomous Underwater Vehicles  
A class of small (50 kg, 2 m length), reusable autonomous underwater vehicles capable of operating at speeds of 20-30 cm/s with ranges several thousand kilometers and durations of months has been developed  ...  capabilities, diverse hydrodynamic approaches to reducing drag and gliding control, various communication schemes, and a range of sensors.  ...  Much as satellite remote sensing led to a quantum jump in our understanding of the ocean's surface, these new platforms provide a view of the interior ocean with much higher spatial and temporal resolution  ... 
doi:10.1201/9780203522301.ch3 fatcat:apfcc7sbszcr3eeqgp4fguox5u

Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey [article]

Zefang Zong, Tao Feng, Tong Xia, Depeng Jin, Yong Li
2022 arXiv   pre-print
Recent technology development brings the booming of numerous new Demand-Driven Services (DDS) into urban lives, including ridesharing, on-demand delivery, express systems and warehousing.  ...  For each problem, we comprehensively introduce the existing DRL solutions. We also introduce open simulation environments for development and evaluation of DDS applications.  ...  Chen et al. proposed a framework that utilizes multi-layer images of the spatial-temporal maps to capture real-time representations in the service areas.  ... 
arXiv:2108.04462v2 fatcat:y3ogh3v4rbhbjfoymql3yku4ty

The Diffusion of Complex Market Technologies: Multifaceted Dynamics for Alternative Fuel Vehicles

Jeroen Struben
2008 Social Science Research Network  
More broadly, the findings provide the groundwork for a framework to analyze diffusion of complex technologies and markets.  ...  This paper develops initial steps towards a framework for understanding factors that condition success and failure of complex market technologies.  ...  Further, the installed base and its demand for fuel enabled the ethanol fuel network to remain in place (Figure 5b).  ... 
doi:10.2139/ssrn.1135732 fatcat:5aojwg53s5ggbbjgicgagecrry

A comprehensive study of visual event computing

WeiQi Yan, Declan F. Kieran, Setareh Rafatirad, Ramesh Jain
2010 Multimedia tools and applications  
This paper contains a survey on aspects of visual event computing.  ...  We start by presenting events and their classifications, and continue with discussing the problem of capturing events in terms of photographs, videos, etc, as well as the methodologies for event storing  ...  This work was partially supported by QUB research project: Unusual event detection in audio-visual surveillance for public transport (NO.D6223EEC).  ... 
doi:10.1007/s11042-010-0560-9 fatcat:ak6u3eefefgjhmbpr7asru3n7u

Charging electric vehicles using opportunistic stopovers

Pierluigi Gallo
2017 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)  
This can be useful for further investigation on designing charging networks and aggregating electric vehicles towards charging stations.  ...  The diffusion of electric vehicles asks for efficient energy replenishment, which requires geographical and temporal coordination of shared charging resources.  ...  Compared to refueling, the energy replenishment for electric vehicles may require a significant amount of time depending on the battery (capacity and state of charge) and on the charging station (technology  ... 
doi:10.1109/eeeic.2017.7977832 fatcat:iiu3uhlrgzhj7jlxbgjadjnwjm

Advances in air to air refuelling

Peter R. Thomas, Ujjar Bhandari, Steve Bullock, Thomas S. Richardson, Jonathan L. du Bois
2014 Progress in Aerospace Sciences  
[139] explored a L 1 neural network based system for controlling the AAAR problem.  ...  Sensors Feasibility and requirements An autonomous system for air to air refuelling must be capable of measurements primarily of a spatial nature for both tracking and station-keeping tasks.  ... 
doi:10.1016/j.paerosci.2014.07.001 fatcat:roclwvz5rjgifjcxup2jewoayi

Future Vision for Autonomous Ocean Observations

Christopher Whitt, Jay Pearlman, Brian Polagye, Frank Caimi, Frank Muller-Karger, Andrea Copping, Heather Spence, Shyam Madhusudhana, William Kirkwood, Ludovic Grosjean, Bilal Muhammad Fiaz, Satinder Singh (+13 others)
2020 Frontiers in Marine Science  
There is a need to develop operational architectures at regional and global scales to provide a backbone for active networking of autonomous platforms.  ...  International networks such as emerging glider operations (EGO) should also provide a forum for addressing governance.  ...  Platforms Autonomous platforms are making measurements over a wide array of spatial and temporal periods.  ... 
doi:10.3389/fmars.2020.00697 fatcat:fdljutv4gfdbbctjechl3tcspu

Empirically Grounded Agent-Based Models of Innovation Diffusion: A Critical Review [article]

Haifeng Zhang, Yevgeniy Vorobeychik
2017 arXiv   pre-print
for calibration of agent-based models for innovation diffusion.  ...  However, the agent-based modeling (ABM) paradigm is gaining popularity as it captures agent heterogeneity and enables fine-grained modeling of interactions mediated by social and geographic networks.  ...  While most network inference algorithms assume static diffusion networks, Gomez Rodriguez et al (2013) address a network inference problem with a time-varying network.  ... 
arXiv:1608.08517v4 fatcat:5i7wxqge2rfzdb5oothhpq3gla

Current trends in the development of intelligent unmanned autonomous systems

Tao Zhang, Qing Li, Chang-shui Zhang, Hua-wei Liang, Ping Li, Tian-miao Wang, Shuo Li, Yun-long Zhu, Cheng Wu
2017 Frontiers of Information Technology & Electronic Engineering  
Furthermore, we classify the relevant technologies into seven areas, including AI technologies, unmanned vehicles, unmanned aerial vehicles, service robots, space robots, marine robots, and unmanned workshops  ...  This usually requires the robots to be able to survey the ocean in a large spatial scale and long temporal scale.  ...  In the future, there will be a strong demand for space robots in the fields of space station maintenance, on-orbit service for satellites, and on-orbit assembly of large-scale spacecraft. 2.  ... 
doi:10.1631/fitee.1601650 fatcat:rrhhym5waff7renjujhq7ovvdm

Innovative Methods for Emission Inventory Development and Evaluation: Workshop Summary

J. David Mobley, Steven H. Cadle
2004 Journal of the Air and Waste Management Association  
Despite successful use in regulatory and other applications, it is essential that emission inventories be enhanced to provide a sound basis for their ever-increasing role in the air quality management  ...  This workshop provided a forum to address new and innovative tools, techniques, and methodologies that can improve the way emission inventories are developed and evaluated.  ...  Although this article has been reviewed and approved for publication, any views expressed by the authors do not necessarily reflect the views of the US Environmental Protection Agency, General Motors,  ... 
doi:10.1080/10473289.2004.10471004 pmid:15587555 fatcat:5i42c2a2qnfvrff6eirjyjravq
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