CoChat
Sign Up
Cited by 558Traffic control and managementVehicular Ad Hoc Networks (VANETs)Road Transport and Highway Systems

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Intelligent transportation systems for sustainable smart cities

Open access
Elassy, Mohamed, Al-Hattab, Mohammed, Takruri, Maen, Badawi, Sufian·2024·Transportation Engineering
DOI 10.1016/j.treng.2024.100252
Open this paper in CoChat — free account

Abstract

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.

Overview

Integrity signals

Registry

Crossref · 10.1016/j.treng.2024.100252

Cites

47 of 47 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 47 references

Research works printed but not linked: 18

  1. Singh, 2019, Survey on vehicular communication state of the art, and future research directions, Veh. Commun., 18
  2. Makwana, N.P.; Vithalani, S.K.; Dhanesha, J.D. Intrusion Detection-Watchdog: for Secure AODV Routing Protocol in VANET. https://www.semanticscholar.org/paper/Intrusion-Detection-Watchdog%3A-For-Secure-AODV-in-Makwana-Vithalani/c047e96a569d06065e134b3084ac13dd74d20399.
  3. Taxi Demand Prediction using an LSTM-Based Deep Sequence Model and Points of Interest. ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/9202791.
  4. Prediction Performance of Lane Changing Behaviors: a Study of Combining Environmental and Eye-Tracking Data in a Driving Simulator. ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/8821577.
  5. Predictive A.D.A.S.: A predictive trajectory guidance scheme for advanced driver assistance in public traffic. ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/7331060.
  6. A New Handoff Ordering and Reduction Scheme Based on Road Topology Information. ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/4149537.
  7. Mobility prediction for handover management in cellular networks with control/data separation. ieeexplore.ieee.org. https://ieeexplore.ieee.org/abstract/document/7248939.
  8. Al-Hattab, 2012, Mobility prediction using pattern matching, IJECS-IJENS, 12, 18
  9. A Destination and Mobility Path Prediction Scheme for Mobile Networks. ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/6872550.
  10. Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning. ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/9181482.
  11. Mobility-Aware Pre-caching Based on Unsupervised Deep Generative Model for Small Cell Networks. ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/9008496.
  12. Box, G.E.P., Jenkins, G.M. and Reinsel, G.C. (1994) Time series analysis; forecasting and control. 3rd Edition, Prentice Hall, Englewood Cliff, New Jersey. - References - Scientific Research Publishing. https://www.scirp.org/(S(i43dyn45teexjx455qlt3d2q))/reference/ReferencesPapers.aspx?ReferenceID=1 936224.
  13. Exploring Trajectory Prediction Through Machine Learning Methods. ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/8766820 (accessed 2023).
  14. Mobility Prediction Based on Machine Learning. ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/6068488 (accessed 2023).
  15. Soyturk, 2023, Chapter 8 - From vehicular networks to vehicular clouds in smart cities, ScienceDirect
  16. Lv, 2022, Impacts of intelligent transportation systems on energy conservation and emission reduction of transport systems: a comprehensive review, Green Technol. Sustainability, 1
  17. “IEEE Xplore - Temporarily Unavailable,” s3-us-west-2.amazonaws.com. https://ieeexplore.ieee.org/document/6935482 (accessed Feb. 26, 2024).
  18. 2023, Smart mobility in smart city – Copenhagen and Barcelona comparison, Zeszyty Naukowe, 2023

Cited by

Sorted by citations

Items 301–400 of 558

Related

See all

Metadata

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)
ORCID
Venue
Transportation Engineering
Publisher
Elsevier BV
Published
2024-06
Volume
16
Pages
100252
ISSN
2666-691X (ISSN-L)
DOI
10.1016/j.treng.2024.100252
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
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 › Road Transport and Highway Systems
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review