Titlebook: Internet of Vehicles - Safe and Intelligent Mobility; Second International Ching-Hsien Hsu,Feng Xia,Shangguang Wang Conference proceedings

FLINT

A Statistical-Based Anomaly Detection Method for Connected Cars in Internet of Things Environmentatus of vehicles. We extracted the in-vehicle traffic data from the well-known commercial car and performed the one-way ANOVA test. As a result, our statistical-based detection method can distinguish the abnormal status of the connected cars in IoT environment.

一瞥

habile

Debate

Abrade

Vehicle Cardinality Estimation in VANETs by Using RFID Tag Estimatorte the vehicle cardinality with high accuracy and efficiency. A unique RFID tag is attached to a vehicle, so we can identify vehicles through RFID tags. With RFID signal, the location of vehicles can be detected remotely. Our scheme makes vehicle cardinality estimation based on the location distance

娴熟

令人发腻

A Full Service Model for Vehicle Scheduling in One-Way Electric Vehicle Car-Sharing Systemss these years. In this paper, a research and design of full service model based on vehicle recommendation and scheduling algorithm for EV Car-Sharing systems has been presented. It leads to efficient vehicle management when there are needs to control cars in the whole station network and recommend a

implore

不出名

烦人