TY - GEN
T1 - Smart campus mobility - From concept to realization
AU - AlNuaimi, Alia
AU - Alnaqbi, Dhuha
AU - Khan, Manzoor Ahmed
AU - AlShams, Shamma
AU - AlNuaimi, Shouq
AU - Khan, Jalal
AU - ElSayed, Hesham
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/23
Y1 - 2021/7/23
N2 - The transition of cities to smarter cities requires intelligence in the infrastructure to automate the operations in all domains. Obviously, transportation and mobility is no exception. Relevant stakeholders i.e., city authorities, mobility providers, and research community has been contributing with solution approaches to achieve the objectives of the envisioned smart mobility. In this paper, we focus on realizing the smart campus mobility, which is a component of a bigger project used for realizing the autonomous driving and imparting it as a solution component of smart mobility. For this, we choose the UAE University campus, as this provides the right settings for the proposed smart campus mobility approach. This will enable us to provide user-friendly and efficient means of transportation to the students and faculty. The solution design is strictly driven by the following goals: modularity, evolvability, and customizability. Therefore, we implement smart campus mobility application and a full scale backend with databases and scheduling approach. Special care is observed in the design and implementation so that the proposed solution is evolved to accommodate the autonomously driven mobility resources, which the authors’ research group is planning to have in the near-future. The smart campus mobility was validated for different use-cases in the UAEU campus.
AB - The transition of cities to smarter cities requires intelligence in the infrastructure to automate the operations in all domains. Obviously, transportation and mobility is no exception. Relevant stakeholders i.e., city authorities, mobility providers, and research community has been contributing with solution approaches to achieve the objectives of the envisioned smart mobility. In this paper, we focus on realizing the smart campus mobility, which is a component of a bigger project used for realizing the autonomous driving and imparting it as a solution component of smart mobility. For this, we choose the UAE University campus, as this provides the right settings for the proposed smart campus mobility approach. This will enable us to provide user-friendly and efficient means of transportation to the students and faculty. The solution design is strictly driven by the following goals: modularity, evolvability, and customizability. Therefore, we implement smart campus mobility application and a full scale backend with databases and scheduling approach. Special care is observed in the design and implementation so that the proposed solution is evolved to accommodate the autonomously driven mobility resources, which the authors’ research group is planning to have in the near-future. The smart campus mobility was validated for different use-cases in the UAEU campus.
KW - Mobility application
KW - Scheudling
KW - Smart campus mobility
UR - http://www.scopus.com/inward/record.url?scp=85116170981&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85116170981&partnerID=8YFLogxK
U2 - 10.1109/ICIVC52351.2021.9527020
DO - 10.1109/ICIVC52351.2021.9527020
M3 - Conference contribution
AN - SCOPUS:85116170981
T3 - 2021 6th International Conference on Image, Vision and Computing, ICIVC 2021
SP - 486
EP - 491
BT - 2021 6th International Conference on Image, Vision and Computing, ICIVC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Image, Vision and Computing, ICIVC 2021
Y2 - 23 July 2021 through 25 July 2021
ER -