Results 31 to 40 of about 428,792 (296)
Fuel Consumption Estimates Based on Driving Pattern Recognition
2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, 2013 Fuel consumption and air pollution caused by transportation is becoming more and more serious. Developing an effective meso model to analyze dynamically the temporal and spatial distribution of fuel consumption in the urban road network has become a research focus.
Xiaohua Zhou +3 more
openaire +2 more sources
Driving Pattern Recognition System Using Smartphone sensor stream
Journal of the Korea Industrial Information Systems Research, 2012 The database for driving patterns can be utilized in various system such as automatic driving system, driver safety system, and it can be helpful to monitor driving style. Therefore, we propose a driving pattern recognition system in which the sensor streams from a smartphone are recorded and used for recognizing driving events.
Chung-Won Song +2 more
exaly +3 more sources
Energy Management Strategy Optimization of HEV based on Driving Pattern Recognition
Jixie chuandong, 2016 The existing energy management strategy which is based on driving pattern recognition failed to fully consider the battery state of charge（ SOC） falling fast in some driving cycle into consideration in the progress of driving.
Liu Yonggang +3 more
doaj +1 more source
Transportation Research Part F: Traffic Psychology and Behaviour, 2023 Dimitrios I Tselentis +1 more
exaly +2 more sources
UnShadowNet: Illumination Critic Guided Contrastive Learning for Shadow Removal
IEEE Access, 2023 Shadows are frequently encountered natural phenomena that significantly hinder the performance of computer vision perception systems in practical settings, e.g., autonomous driving.
Subhrajyoti Dasgupta +6 more
doaj +1 more source
Kongzhi Yu Xinxi Jishu, 2022 Traditional mine dump truck using diesel-electric drive technology have high energy consumption and serious pollution. To improve fuel economy of a hybrid power dump truck, firstly, it analyzes system composition, working mode and transportation ...
CHEN Lingjian +4 more
doaj +3 more sources
Extraction and Recognition Methods of Vehicle Driving Tendency Feature Based on Driver vehicle-environment Dynamic Data under Car Following [PDF]
International Journal of Computational Intelligence Systems, 2011 Driving tendency is the comprehensive embodiment of driver's physiological and psychological characteristics. It reflects driver's psychological condition during the process of driving.
Xiaoyuan Wang, Jinglei Zhang
doaj +1 more source
Pengenalan Pola Lintasan Berbasis Neural Network Pada Prototype Self-Driving Car
Elektrika, 2020 Self driving cars are an interesting topic to discuss due to the high level of traffic accidents that occur due to human error. Self driving cars are vehicles that can find out about the environment with minimal human intervention.
Leonardo Rudolf Manangka +2 more
doaj +1 more source
Real-Time Integrated Energy Management Strategy Applied to Fuel Cell Hybrid Systems
Energies, 2023 Integrating hydrogen fuel cell systems (FCS) remains challenging in the expanding electric vehicle market. One of the levers to meet this challenge is the relevance of energy supervisors. This paper proposes an innovative energy management strategy (EMS)
Matthieu Matignon +4 more
doaj +1 more source
A multi-mode electric vehicle range estimator based on driving pattern recognition
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2021 Limited driving range and availability of charging infrastructures are still among the main barriers of adoption of electric vehicles (EVs) in the market. Combination of those limiting factors causes ‘range anxiety’ in EV users.
Lang Mao +3 more
semanticscholar +1 more source