Analysis Framework for Electric Vehicle Sharing Systems Using Vehicle Movement Data Stream

2012 ◽  
pp. 89-94 ◽  
Author(s):  
Junghoon Lee ◽  
Hye-Jin Kim ◽  
Gyung-Leen Park ◽  
Ho-Young Kwak ◽  
Moo Yong Lee
Keyword(s):  
Electric Vehicle ◽  
Data Stream ◽  
Analysis Framework ◽  
Movement Data ◽  
Vehicle Movement

scholarly journals Autonomous Vehicles: Vehicle Parameter Estimation Using Variational Bayes and Kinematics

2020 ◽  
Vol 10 (18) ◽  
pp. 6317 ◽  
Author(s):  
Wilfried Wöber ◽  
Georg Novotny ◽  
Lars Mehnen ◽  
Cristina Olaverri-Monreal
Keyword(s):  
Parameter Estimation ◽  
Autonomous Vehicles ◽  
Autonomous Driving ◽  
The Other ◽  
Sensor Data ◽  
Critical Feature ◽  
Motion Data ◽  
Movement Data ◽  
End Use ◽  
Vehicle Movement

On-board sensory systems in autonomous vehicles make it possible to acquire information about the vehicle itself and about its relevant surroundings. With this information the vehicle actuators are able to follow the corresponding control commands and behave accordingly. Localization is thus a critical feature in autonomous driving to define trajectories to follow and enable maneuvers. Localization approaches using sensor data are mainly based on Bayes filters. Whitebox models that are used to this end use kinematics and vehicle parameters, such as wheel radii, to interfere the vehicle’s movement. As a consequence, faulty vehicle parameters lead to poor localization results. On the other hand, blackbox models use motion data to model vehicle behavior without relying on vehicle parameters. Due to their high non-linearity, blackbox approaches outperform whitebox models but faulty behaviour such as overfitting is hardly identifiable without intensive experiments. In this paper, we extend blackbox models using kinematics, by inferring vehicle parameters and then transforming blackbox models into whitebox models. The probabilistic perspective of vehicle movement is extended using random variables representing vehicle parameters. We validated our approach, acquiring and analyzing simulated noisy movement data from mobile robots and vehicles. Results show that it is possible to estimate vehicle parameters with few kinematic assumptions.

scholarly journals Efficiency Assessment of a Signalized Roundabout and a Traffic Intersection in Baghdad City

2021 ◽  
Vol 11 (6) ◽  
pp. 7910-7916
Author(s):  
H. H. Mohammed ◽  
M. Q. Ismail
Keyword(s):  
Performance Measures ◽  
Road Networks ◽  
Signalized Intersection ◽  
Movement Data ◽  
Efficiency Assessment ◽  
Traffic Intersection ◽  
Traffic Volumes ◽  
Smart Traffic ◽  
Vehicle Movement ◽  
Better Than

In Baghdad city, Iraq, the traffic volumes have rapidly grown during the last 15 years. Road networks need to reevaluate and decide if they are operating properly or not regarding the increase in the number of vehicles. Al-Jadriyah intersection (a four-leg signalized intersection) and Kamal Junblat Square (a multi-lane roundabout), which are two important intersections in Baghdad city with high traffic volumes, were selected to be reevaluated by the SIDRA package in this research. Traffic volume and vehicle movement data were abstracted from videotapes by the Smart Traffic Analyzer (STA) Software. The performance measures include delay and LOS. The analysis results by SIDRA Intersection 8.0.1 show that the performance of the roundabout is better than the signalized intersection but experiences high delay, and low LOS. Therefore, alternatives are proposed to improve the performance for current and future traffic volumes with low-medium delays.

Intelligent energy-saving control strategy for electric vehicle based on preceding vehicle movement

2019 ◽  
Vol 130 ◽  
pp. 484-501 ◽  
Author(s):  
Laiqing Xie ◽  
Yugong Luo ◽  
Donghao Zhang ◽  
Rui Chen ◽  
Keqiang Li
Keyword(s):  
Energy Saving ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Preceding Vehicle ◽  
Energy Saving Control ◽  
Vehicle Movement

Simulation Research on Dynamic Performance of Electric Vehicle Based on ADVISOR

2012 ◽  
Vol 588-589 ◽  
pp. 355-358
Author(s):  
Xing Wang ◽  
Dong Chen Qin ◽  
Jun Zhu
Keyword(s):  
Electric Vehicle ◽  
Dynamic Performance ◽  
Performance Standards ◽  
Simulation Software ◽  
Simulation Research ◽  
Vehicle Performance ◽  
Vehicle Simulation ◽  
Design Cycle ◽  
Main Component ◽  
Vehicle Movement

The research of the dynamic performance is particularly important so as to improve the performance of electric vehicles. The method of computer modeling and simulation can be used to reduce the expense and shorten design cycle. The theory of dynamic performance standards of electric vehicle performance is introduced, and then, the main component of electric vehicle and the whole vehicle model are built up based on the advanced vehicle simulation software ADVISOR platform, which is developed by U.S. National Renewable Energy Laboratory. The curve results of the dynamic performance are obtained after the simulation of virtual electric vehicle, and it is consistent with the actual vehicle movement. At the same time, the simulation results can be served as essential reference for development and improvement of new vehicles.

Model and Simulation for Driving System of Four-Wheel-Drive Electric Vehicle

2013 ◽  
Vol 336-338 ◽  
pp. 480-483
Author(s):  
Guo Kai Xu ◽  
Tao Zhang ◽  
Xiu Chun Zhao ◽  
Juan Wang
Keyword(s):  
Mathematical Model ◽  
Electric Vehicle ◽  
Pi Control ◽  
Driving System ◽  
Model And Simulation ◽  
Wheel Drive ◽  
Simulation Results ◽  
Four Wheel Drive ◽  
The Mathematical Model ◽  
Vehicle Movement

Model for drive system of four-wheel-drive electric vehicle was investigated. By combing the balance equation for the vehicle movement with the equation of motor mechanical properties, a mathematical model of driving system of electric vehicle was established, PI control strategy was used for the optimal control and the model was simulated by the software Matlab/Simulink. The simulation results show that the mathematical model of driving system of the electric vehicle can represent the vehicle running states accurately.

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