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Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 24, 2020 - Issue 5
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A protocol for pedestrian crossing and increased vehicular flow in smart cities

Sara El HamdaniDepartment of Mathematics and Computer Science, School of Technology, Moulay Ismail University of Meknes, Meknes, Morroco; Correspondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-5358-835X
ORCID Icon,
Nabil BenamarDepartment of Mathematics and Computer Science, School of Technology, Moulay Ismail University of Meknes, Meknes, Morroco;
&
Mohmed YounisDepartment of Computer Science and Electrical Engineering, University of Maryland, Baltimore, MA, USA
Pages 514-533 | Received 26 Jul 2018, Accepted 18 Oct 2019, Published online: 12 Nov 2019

Citations (13)

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Read on this site (2)

Dayuan Tan, Mohamed Younis, Wassila Lalouani, Shuyao Fan & Guozhi Song. (2023) A novel pedestrian road crossing simulator for dynamic traffic light scheduling systems. Journal of Intelligent Transportation Systems 0:0, pages 1-15.
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Laura-Bianca Bilius & Radu-Daniel Vatavu. (2021) A multistudy investigation of drivers and passengers’ gesture and voice input preferences for in-vehicle interactions. Journal of Intelligent Transportation Systems 25:2, pages 197-220.
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Articles from other publishers (11)

Badr Ben Elallid, Miloud Bagaa, Nabil Benamar & Nabil Mrani. (2023) A Reinforcement Learning Based Approach for Controlling Autonomous Vehicles in Complex Scenarios. A Reinforcement Learning Based Approach for Controlling Autonomous Vehicles in Complex Scenarios.
Alberto M. Figueroa-Medina, Didier Valdés-Díaz, Benjamín Colucci-Ríos, Natacha Cardona-Rodríguez & Andrés Chamorro-Parejo. (2023) Analysis of walking speeds and success rates on mid-block crossings using virtual reality simulation. Accident Analysis & Prevention 183, pages 106987.
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Asma Ait Ouallane, Assia Bakali, Ayoub Bahnasse, Said Broumi & Mohamed Talea. (2022) Fusion of engineering insights and emerging trends: Intelligent urban traffic management system. Information Fusion 88, pages 218-248.
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Badr Ben Elallid, Nabil Benamar, Nabil Mrani & Tajjeeddine Rachidi. (2022) DQN-based Reinforcement Learning for Vehicle Control of Autonomous Vehicles Interacting With Pedestrians. DQN-based Reinforcement Learning for Vehicle Control of Autonomous Vehicles Interacting With Pedestrians.
Francisco Alonso, Cristina Esteban, Mireia Faus & Sergio A. Useche. (2022) Differences in the Assessment of Safe and Risky Driving Behaviors: Pedestrians Versus Drivers. SAGE Open 12:2, pages 215824402211024.
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Badr Ben Elallid, Sara El Hamdani, Nabil Benamar & Nabil Mrani. 2022. Computational Intelligence in Recent Communication Networks. Computational Intelligence in Recent Communication Networks 135 146 .
Sara El Hamdani, Salahedine Loudari, Mariyam Ouaissa, Mariya Ouaissa & Nabil Benamar. 2022. Computational Intelligence in Recent Communication Networks. Computational Intelligence in Recent Communication Networks 119 133 .
Johana Orozco-Rivera, Yony Ceballos & Julian Andrés Castillo-Grisales. (2021) Análisis del alto flujo vehicular para una vía de acceso a Medellín usando simulación basada en agentes. Revista UIS Ingenierías 21:1.
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Vladimir Shepelev, Alexandr Glushkov, Tatyana Bedych, Tatyana Gluchshenko & Zlata Almetova. (2021) Predicting the Traffic Capacity of an Intersection Using Fuzzy Logic and Computer Vision. Mathematics 9:20, pages 2631.
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Ayyoub Lamssaggad, Nabil Benamar, Abdelhakim Senhaji Hafid & Mounira Msahli. (2021) A Survey on the Current Security Landscape of Intelligent Transportation Systems. IEEE Access 9, pages 9180-9208.
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Sara El Hamdani, Nabil Benamar & Mohamed Younis. (2020) Pedestrian Support in Intelligent Transportation Systems: Challenges, Solutions and Open issues. Transportation Research Part C: Emerging Technologies 121, pages 102856.
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