EVaaS: Electric vehicle-as-a-service for energy trading in SDN-enabled smart transportation system

2018 ◽  
Vol 143 ◽  
pp. 247-262 ◽  
Author(s):  
Gagangeet Singh Aujla ◽  
Anish Jindal ◽  
Neeraj Kumar
Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 307
Author(s):  
Zhaoxiong Huang ◽  
Zhenhao Li ◽  
Chun Sing Lai ◽  
Zhuoli Zhao ◽  
Xiaomei Wu ◽  
...  

This work presents a novel blockchain-based energy trading mechanism for electric vehicles consisting of day-ahead and real-time markets. In the day-ahead market, electric vehicle users submit their bidding price to participate in the double auction mechanism. Subsequently, the smart match mechanism will be conducted by the charging system operator, to meet both personal interests and social benefits. After clearing the trading result, the charging system operator uploads the trading contract made in the day-ahead market to the blockchain. In the real-time market, the charging system operator checks the trading status and submits the updated trading results to the blockchain. This mechanism encourages participants in the double auction to pursue higher interests, in addition to rationally utilize the energy unmatched in the auction and to achieve the improvement of social welfare. Case studies are used to demonstrate the effectiveness of the proposed model. For buyers and sellers who successfully participate in the day-ahead market, the total profit increase for buyer and seller are 22.79% and 53.54%, respectively, as compared to without energy trading. With consideration of social welfare in the smart match mechanism, the peak load reduces from 182 to 146.5 kW, which is a 19.5% improvement.


Author(s):  
Carlos de la Cruz ◽  
Alex Pacheco ◽  
Ivan Robles ◽  
Amanda Duran ◽  
Erick Flores

2021 ◽  
Author(s):  
Zhiyong Zhang ◽  
Xiao Zhang

Abstract With the rise of the sharing economy and the concept of “green environmental protection and low-carbon travel”, the emerging project of shared electric vehicles is booming. However, the accompanying coordination problem between shared electric vehicles and public transportation system needs to be urgently solved. In reality, customers’ choice of travel mode is influenced by their own travel perceived utility. Thus, this paper will discuss the competition and coordination problem between shared electric vehicles and public transportation system from the perspective of customer travel utility. Considering the travel cost and comfort in the customer travel utility, the game models of shared electric vehicle and public transport system in different scenarios are established by using competitive game and cooperative game. Then, the equilibrium solutions under different scenarios are obtained by solving the models. The analysis results show that shared electric vehicles would bring some beneficial improvements to the transportation system under certain circumstances. Furthermore, public transportation system should adopt a coordination strategy with the shared electric vehicles to promote the total customer travel utility for the entire system. It is worth considering the improvement of the service quality of shared electric vehicle and public transportation next, which would affect the rate of increasing in the total customer travel utility.


Author(s):  
Haoxiang Wang

In recent times Automation is emerging every day and bloomed in every sector. Intelligent Transportation System (ITS) is one of the important branches of Automation. The major constrain in the transportation system is traffic congestion. This slurps the individual’s time and consequently pollutes the environment. A centralized management is required for optimizing the transportation system. The current traffic condition is predicted by evaluating the historical data and thereby it reduces the traffic congestion. The periodic update of traffic condition in each and every street of the city is obtained and the data is transferred to the autonomous vehicle. These data are obtained from the simulation results of transportation prediction tool SUMO. It is proved that our proposed work reduces the traffic congestion and maintains ease traffic flow and preserves the fleet management.


Author(s):  
Sushruta Mishra ◽  
Shikha Patel ◽  
Amiya Ranjan Ranjan Panda ◽  
Brojo Kishore Mishra

Internet of Things (IoT) is a platform that makes a device smart such that every day communication becomes more informative. A Smart Transportation system basically consists of three components which include smart roads, smart vehicles and a smart parking system. Smart roads are used to describe roads that use sensors and IoT technology which makes driving safer and greener. Smart parking system involves an automated system model that can assist the drivers in selecting the suitable parking spot for them. The data that the system collects will be sent for some analysis. It provides real time information to drivers about various aspects of transportation like weather conditions, traffic scenario, road safety, parking space, and many other things. A well-built Smart Transportation system reduces the risk of accidents, improves safety, increases capacity, reduces fuel consumption, and enhances overall comfort and performance for drivers. Our chapter deals with the in-depth discussion of these various aspects of a smart transportation system enabled with IoT technology.


2019 ◽  
Vol 85 ◽  
pp. 288-299 ◽  
Author(s):  
Rajat Chaudhary ◽  
Anish Jindal ◽  
Gagangeet Singh Aujla ◽  
Shubhani Aggarwal ◽  
Neeraj Kumar ◽  
...  

2019 ◽  
Vol 106 (1) ◽  
pp. 27-40 ◽  
Author(s):  
Muhammad Aamir ◽  
Suhaib Masroor ◽  
Zain Anwar Ali ◽  
Bai Ting Ting

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