E-ISSN 3026-930X
 

Original Research 


Integrated Spatial and Temporal Modeling of Electric Vehicle Charging Demand in Urban Areas using Cell Transmission and Queuing Techniques

Ahmadu Adamu Galadima, Tahir Aja Zarma, Usman Mohammed, Sadq Thomas.


Abstract
The rapid growth of electric vehicles (EVs) presents challenges in managing energy demand and optimizing the electric vehicle charging infrastructure in urban environments. This paper proposes an integrated spatial and temporal demand model that captures the complex interactions between the transportation network and the EV charging infrastructure. The transportation network is represented by a cell transmission model (CTM) to capture spatial distributions in traffic flow and density by discretizing the road network into a series of cells and updating the vehicle density and flow. Fast charging and battery swapping procedures, which have stochastic arrival and service rates, are represented using an M/M/s queue. The model is formulated mathematically and implemented using numeric simulations. The results show the capability of the integrated model to capture spatial and temporal dynamics of the charging demand of EVs.

Key words: electric vehicle charging infrastructure, energy demand model, cell transmission model, queuing model


 
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How to Cite this Article
Pubmed Style

Galadima AA, Zarma TA, Mohammed U, Thomas S. Integrated Spatial and Temporal Modeling of Electric Vehicle Charging Demand in Urban Areas using Cell Transmission and Queuing Techniques. NJEAS. 2026; 3(2): 0-0. doi:10.5455/NJEAS.251836


Web Style

Galadima AA, Zarma TA, Mohammed U, Thomas S. Integrated Spatial and Temporal Modeling of Electric Vehicle Charging Demand in Urban Areas using Cell Transmission and Queuing Techniques. https:///?mno=251836 [Access: August 25, 2026]. doi:10.5455/NJEAS.251836


AMA (American Medical Association) Style

Galadima AA, Zarma TA, Mohammed U, Thomas S. Integrated Spatial and Temporal Modeling of Electric Vehicle Charging Demand in Urban Areas using Cell Transmission and Queuing Techniques. NJEAS. 2026; 3(2): 0-0. doi:10.5455/NJEAS.251836



Vancouver/ICMJE Style

Galadima AA, Zarma TA, Mohammed U, Thomas S. Integrated Spatial and Temporal Modeling of Electric Vehicle Charging Demand in Urban Areas using Cell Transmission and Queuing Techniques. NJEAS. (2026), [cited August 25, 2026]; 3(2): 0-0. doi:10.5455/NJEAS.251836



Harvard Style

Galadima, A. A., Zarma, . T. A., Mohammed, . U. & Thomas, . S. (2026) Integrated Spatial and Temporal Modeling of Electric Vehicle Charging Demand in Urban Areas using Cell Transmission and Queuing Techniques. NJEAS, 3 (2), 0-0. doi:10.5455/NJEAS.251836



Turabian Style

Galadima, Ahmadu Adamu, Tahir Aja Zarma, Usman Mohammed, and Sadq Thomas. 2026. Integrated Spatial and Temporal Modeling of Electric Vehicle Charging Demand in Urban Areas using Cell Transmission and Queuing Techniques. Nile Journal of Engineering and Applied Science, 3 (2), 0-0. doi:10.5455/NJEAS.251836



Chicago Style

Galadima, Ahmadu Adamu, Tahir Aja Zarma, Usman Mohammed, and Sadq Thomas. "Integrated Spatial and Temporal Modeling of Electric Vehicle Charging Demand in Urban Areas using Cell Transmission and Queuing Techniques." Nile Journal of Engineering and Applied Science 3 (2026), 0-0. doi:10.5455/NJEAS.251836



MLA (The Modern Language Association) Style

Galadima, Ahmadu Adamu, Tahir Aja Zarma, Usman Mohammed, and Sadq Thomas. "Integrated Spatial and Temporal Modeling of Electric Vehicle Charging Demand in Urban Areas using Cell Transmission and Queuing Techniques." Nile Journal of Engineering and Applied Science 3.2 (2026), 0-0. Print. doi:10.5455/NJEAS.251836



APA (American Psychological Association) Style

Galadima, A. A., Zarma, . T. A., Mohammed, . U. & Thomas, . S. (2026) Integrated Spatial and Temporal Modeling of Electric Vehicle Charging Demand in Urban Areas using Cell Transmission and Queuing Techniques. Nile Journal of Engineering and Applied Science, 3 (2), 0-0. doi:10.5455/NJEAS.251836