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 - Funding Information:
IV. CONCLUSION In this paper, we have discussed the need of an extensive framework for realizing the envisioned autonomous and connected mobility solutions, and presented its first building-block. We provided architectural details of the various solution components and their inter-connectivity. We then explained the implementation details of a version of the smart campus mobility applications and its different features, which is evolvable to the autonomous and connected mobility solution. This work is supported by the UAEU Research office through the startup project of Dr. Manzoor Khan.
Funding Information:
II. RELATED WORK A number of global efforts have been made for optimizing urban mobility, for example, MOBiNET (EU funded project) [6] focuses on multi-vendor platforms for Europe-wide mobility services. The project provided service harmonization, accessibility of transportation-related data, user subscription mechanism, etc. Another project funded by the German government, Intermodal Mobility Assistant (IMA) [7], entails an open mobility platform enabling the provision of different services through a single platform. The platform assists the users in selecting the mode of mobility. In a similar multimodal mobility project by FHWA [8], the selection is influenced by travel time, cost, etc. An H2020 project, SMILE [9] focuses on mobility across borders with major focus on security. The publications/deliverables of the above projects and similar research literature point seems to be confined to mobility approaches for the classical or connected vehicles. To the best of our knowledge, our project’s multimodal mobility solution for mixed traffic and fully AVs inside a university campus would be a pioneering work.
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 -