Electric Mobility Vehicle Reservation and Crowd Management for Al-masjid Al-haram

This paper addresses the growing need for efficient management of electric mobility vehicles in high-traffic environments. We present the design and development of a software system to support electric mobility vehicle reservation and management for use in the existence of crowds. The design is applied on a use case for electric vehicles used by visitors to Al-masjid Al-haram for performing “Tawaf”, a pilgrimage ritual conducted by Muslims visiting the holy land in Makkah. To enhance accessibility for visitors, the government has introduced electric mobility vehicles. However, the current manual reservation and management poses challenges, including locating the vehicles, unpredictable waiting times, the lack of real-time vehicle availability information, and congestions. The design of the software solution aims to address these challenges using automated reservation and management, heatmap crowd detection, and location-based GPS to track and locate vehicles. A preliminary evaluation on a sample of target users indicates the usefulness of the system and its ability to contribute to solving current management problems and enhancing the experience of visitors.

Authors

Institutions

Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icoco62848.2024.10928260
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electric Mobility Vehicle Reservation and Crowd Management for Al-masjid Al-haram

Lamees A. Altamimi, Maha Al-Yahya, Shahad Alothman, Manal Alyami et al.
Traffic Prediction and Management Techniques
article

Electric Mobility Vehicle Reservation and Crowd Management for Al-masjid Al-haram

Lamees A. Altamimi, Maha Al-Yahya, Shahad Alothman, Manal Alyami, Fatimah Alnaser
article en

Abstract

This paper addresses the growing need for efficient management of electric mobility vehicles in high-traffic environments. We present the design and development of a software system to support electric mobility vehicle reservation and management for use in the existence of crowds. The design is applied on a use case for electric vehicles used by visitors to Al-masjid Al-haram for performing “Tawaf”, a pilgrimage ritual conducted by Muslims visiting the holy land in Makkah. To enhance accessibility for visitors, the government has introduced electric mobility vehicles. However, the current manual reservation and management poses challenges, including locating the vehicles, unpredictable waiting times, the lack of real-time vehicle availability information, and congestions. The design of the software solution aims to address these challenges using automated reservation and management, heatmap crowd detection, and location-based GPS to track and locate vehicles. A preliminary evaluation on a sample of target users indicates the usefulness of the system and its ability to contribute to solving current management problems and enhancing the experience of visitors.

King Saud University (SA)
Openalex Percentile: Top 70%
Traffic Prediction and Management Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Electric Mobility Vehicle Reservation and Crowd Management for Al-masjid Al-haram — Lamees A. Altamimi, Maha Al-Yahya, et al. · (2024) | TGRS Research Map | TGRS