Öz
: Driving behavior is a term used to describe deliberate or accidental activities while a driver drives a vehicle. Driving behavior data is useful for efficiency in the automotive domain, including insurance companies, aftermarkets, production planning, and vehicle servicing. Therefore, the aim of this study is to develop and investigate an Acceleration/Deceleration(A/D) detection system. A/D can be measured using a 3-axis accelerometer. The accelerometer on the vehicle cannot precisely reflect the driver's actual A/D behavior due to its undetermined orientation. Additionally, the accelerometer detects sudden movements. In order to prevent unexpected acceleration and deceleration changes and to achieve the desired driving behavior, a gyroscope has been incorporated into the system. Thus, a driving aid system was developed using the combined data from the gyroscope and accelerometer. Moreover, the A/D detection system reads and combines the vehicle's CAN messages to more stabilize the system. As a result, driving behavior data during vehicle trips is collected and recorded to inform the driver how to have a more efficient driving experience and as well as making the related companies aware of the trips that have been made. Furthermore, they can be combined with service feedback and support the manufacturer's production strategy to increase efficiency.
Anahtar Kelimeler
Driving behavior Acceleration Deceleration Driving efficiency
Kaynakça
- Ahmad, F., Ahmad, Z., Kerrache, C. A., Kurugollu, F., Adnane, A., & Barka, E. (2019). Blockchain in internet-of-things: Architecture, applications and research directions. 2019 International Conference on Computer and Information Sciences (ICCIS).
- CAN in Automation (CiA). (2023).History of the CAN technology. Retrieved from https://www.can-cia.org/can-knowledge/can/can-history/
- Copper Hill Tech (n.d.). A brief introduction to controller area network.Retrieved from https://copperhilltech.com/a-brief-introduction-to-controller-area-network/
- Dai, S., Zhong, Y., Xu, C., Liu, H., Yuan, J., & Wang, P. (2022). An intelligent security classification model of driver’s driving behavior based on V2X in IoT networks. Security and Communication Networks, 1–12.
Öz
Kaynakça
- Ahmad, F., Ahmad, Z., Kerrache, C. A., Kurugollu, F., Adnane, A., & Barka, E. (2019). Blockchain in internet-of-things: Architecture, applications and research directions. 2019 International Conference on Computer and Information Sciences (ICCIS).
- CAN in Automation (CiA). (2023).History of the CAN technology. Retrieved from https://www.can-cia.org/can-knowledge/can/can-history/
- Copper Hill Tech (n.d.). A brief introduction to controller area network.Retrieved from https://copperhilltech.com/a-brief-introduction-to-controller-area-network/
- Dai, S., Zhong, Y., Xu, C., Liu, H., Yuan, J., & Wang, P. (2022). An intelligent security classification model of driver’s driving behavior based on V2X in IoT networks. Security and Communication Networks, 1–12.
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Konular | Çevresel ve Sürdürülebilir Süreçler |
| Bölüm | Makaleler |
| Yazarlar | |
| Erken Görünüm Tarihi | 28 Aralık 2023 |
| Yayımlanma Tarihi | 30 Aralık 2023 |
| Yayımlandığı Sayı | Yıl 2023Cilt: 26 |
