Intelligent transportation systems for sustainable smart cities
Open accessAbstract
Intelligent Transportation Systems are rapidly expanding to meet the growing demand for safer, more efficient, and sustainable transportation solutions. These systems encompass various applications, from traffic management and control to autonomous vehicles, aiming to enhance mobility experiences while addressing urbanization challenges. This paper examines key components of Intelligent Transportation Systems, including Vehicular Ad-hoc Networks, Intelligent Traffic Lights, Virtual Traffic Lights, and Mobility Prediction, emphasizing their role in improving transportation efficiency, safety, and sustainability. It explores recent advancements in communication systems that enable real-time Intelligent Transportation Systems operations, contributing to the realization of environmentally friendly smart cities.Moreover, the paper addresses security challenges associated with Intelligent Transportation Systems deployment, particularly concerning public transit privacy, and presents case studies illustrating the benefits of Intelligent Transportation Systems integration in specific urban areas, emphasizing its role in fostering Sustainable Smart Cities. Additionally, it examines proactive initiatives by automotive manufacturers in adhering to Intelligent Transportation Systems standards, ensuring mutual benefits for drivers and urban centers.
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Existing traffic management architectures are not intelligent enough to control signals in real-time according to live street conditions and vehicle movement patterns.
“Furthermore, existing traffic management architectures are not intelligent enough to control signals in real-time according to live street conditions and vehicle movement patterns [15,16].”
From Multi-agent Reinforcement Learning for Real-time Traffic Control in 6G-Enabled VANET Environments (2025) · cites this paper as [15]
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- Authors
- Elassy, M., Al-Hattab, M., Takruri, M., & Badawi, S.
- Affiliations
- Al Ain University (AE)
- American University of Ras Al Khaimah (AE)
- Applied Science Private University (JO)
- Venue
- Transportation Engineering
- Publisher
- Elsevier BV
- Published
- 2024-06
- Volume
- 16
- Pages
- 100252
- ISSN
- 2666-691X (ISSN-L)
- OpenAlex
- W4394790048
- Cited by
- 448
- References
- 47
- Citations by year
- 2026: 190 · 2025: 218 · 2024: 40
- FWCI
- 70.01
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Transportation Engineering (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Engineering › Civil and Structural Engineering › Transportation Systems and Logistics
- Keywords
- intelligent transportation systems, smart cities, sustainable transport, vehicular ad hoc networks, smart traffic lights, virtual traffic lights, mobility prediction, traffic management, autonomous vehicles, transport security, automotive industry standards, urbanization
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