IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i16p12655-d1221759.html
   My bibliography  Save this article

Analyzing the Impact of C-ITS Services on Driving Behavior: A Case Study of the Daejeon–Sejong C-ITS Pilot Project in South Korea

Author

Listed:
  • Junhee Kang

    (Department of Urban Design and Planning, Hongik University, Seoul 04066, Republic of Korea)

  • Sehyun Tak

    (The Korea Transport Institute, Sejong 30147, Republic of Korea)

  • Sungjin Park

    (Department of Urban Design and Planning, Hongik University, Seoul 04066, Republic of Korea)

Abstract

This paper analyzes the impact of C-ITS service on driving behavior, focusing on a pilot project in Daejeon–Sejong, South Korea. C-ITS, an advanced technology, enables bidirectional wireless communication between vehicles or infrastructure, allowing for real-time traffic data collection and dissemination. The study uses a unique analytical method, employing parallel processing techniques for variable extraction and a paired t -test to examine the short-term effects of C-ITS on driving behavior. Findings indicate a significant change in drivers’ behavior, particularly in average speed, hard braking rate, severe deceleration rate, speeding rate, and excessive speeding rate, towards safer trends after receiving C-ITS warning services. Reductions in hard braking and severe deceleration were immediate after C-ITS service initiation, while a decrease in excessive speeding was observed after four months. Further research is needed to identify other potential influencing variables and provide an unbiased evaluation of C-ITS effectiveness. The study’s implications highlight its role in promoting public acceptance of C-ITS-service-based cooperative autonomous driving strategies.

Suggested Citation

  • Junhee Kang & Sehyun Tak & Sungjin Park, 2023. "Analyzing the Impact of C-ITS Services on Driving Behavior: A Case Study of the Daejeon–Sejong C-ITS Pilot Project in South Korea," Sustainability, MDPI, vol. 15(16), pages 1-21, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12655-:d:1221759
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/16/12655/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/16/12655/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fayez Alanazi, 2023. "Development of Smart Mobility Infrastructure in Saudi Arabia: A Benchmarking Approach," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    2. Auwal Alhassan Musa & Salim Idris Malami & Fayez Alanazi & Wassef Ounaies & Mohammed Alshammari & Sadi Ibrahim Haruna, 2023. "Sustainable Traffic Management for Smart Cities Using Internet-of-Things-Oriented Intelligent Transportation Systems (ITS): Challenges and Recommendations," Sustainability, MDPI, vol. 15(13), pages 1-15, June.
    3. Sehyun Tak & Jeongyun Kim & Donghoun Lee, 2022. "Study on the Extraction Method of Sub-Network for Optimal Operation of Connected and Automated Vehicle-Based Mobility Service and Its Implication," Sustainability, MDPI, vol. 14(6), pages 1-28, March.
    4. Edwards, S. & Hill, G. & Goodman, P. & Blythe, P. & Mitchell, P. & Huebner, Y., 2018. "Quantifying the impact of a real world cooperative-ITS deployment across multiple cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 102-113.
    5. Mohammed Aljoufie, 2021. "The Impact Assessment of Increasing Population Density on Jeddah Road Transportation Using Spatial-Temporal Analysis," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    6. Maria Luisa Tumminello & Elżbieta Macioszek & Anna Granà & Tullio Giuffrè, 2023. "A Methodological Framework to Assess Road Infrastructure Safety and Performance Efficiency in the Transition toward Cooperative Driving," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    7. Yanghanzi Zhang & Shuo Li & Philip Blythe & Simon Edwards & Weihong Guo & Yanjie Ji & Jin Xing & Paul Goodman & Graeme Hill, 2022. "Attention Pedestrians Ahead: Evaluating User Acceptance and Perceptions of a Cooperative Intelligent Transportation System-Warning System for Pedestrians," Sustainability, MDPI, vol. 14(5), pages 1-13, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maksymilian Mądziel, 2024. "Quantifying Emissions in Vehicles Equipped with Energy-Saving Start–Stop Technology: THC and NOx Modeling Insights," Energies, MDPI, vol. 17(12), pages 1-25, June.
    2. Leviäkangas, Pekka & Öörni, Risto, 2020. "From business models to value networks and business ecosystems – What does it mean for the economics and governance of the transport system?," Utilities Policy, Elsevier, vol. 64(C).
    3. Seham S. Al-Alola & Haya M. Alogayell & Ibtesam I. Alkadi & Soha A. Mohamed & Ismail Y. Ismail, 2021. "Recognition and Prediction of Land Dynamics and Its Associated Impacts in Al-Qurayyat City and along Al-Shamal Train Pathway in Saudi Arabia," Sustainability, MDPI, vol. 13(17), pages 1-25, September.
    4. Maria Luisa Tumminello & Elżbieta Macioszek & Anna Granà, 2024. "Insights into Simulated Smart Mobility on Roundabouts: Achievements, Lessons Learned, and Steps Ahead," Sustainability, MDPI, vol. 16(10), pages 1-33, May.
    5. Mariano Gallo & Mario Marinelli, 2020. "Sustainable Mobility: A Review of Possible Actions and Policies," Sustainability, MDPI, vol. 12(18), pages 1-39, September.
    6. Sikai Chen & Shuya Zong & Tiantian Chen & Zilin Huang & Yanshen Chen & Samuel Labi, 2023. "A Taxonomy for Autonomous Vehicles Considering Ambient Road Infrastructure," Sustainability, MDPI, vol. 15(14), pages 1-27, July.
    7. Antoine Kazadi Kayisu & Miroslava Mikusova & Pitshou Ntambu Bokoro & Kyandoghere Kyamakya, 2024. "Exploring Smart Mobility Potential in Kinshasa (DR-Congo) as a Contribution to Mastering Traffic Congestion and Improving Road Safety: A Comprehensive Feasibility Assessment," Sustainability, MDPI, vol. 16(21), pages 1-53, October.
    8. Yanghanzi Zhang & Shuo Li & Philip Blythe & Simon Edwards & Weihong Guo & Yanjie Ji & Jin Xing & Paul Goodman & Graeme Hill, 2022. "Attention Pedestrians Ahead: Evaluating User Acceptance and Perceptions of a Cooperative Intelligent Transportation System-Warning System for Pedestrians," Sustainability, MDPI, vol. 14(5), pages 1-13, February.
    9. Nazanin Zare & Elżbieta Macioszek & Anna Granà & Tullio Giuffrè, 2024. "Blending Efficiency and Resilience in the Performance Assessment of Urban Intersections: A Novel Heuristic Informed by Literature Review," Sustainability, MDPI, vol. 16(6), pages 1-24, March.
    10. Douglas Mitieka & Rose Luke & Hossana Twinomurinzi & Joash Mageto, 2023. "Smart Mobility in Urban Areas: A Bibliometric Review and Research Agenda," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    11. Mahsa Farahani & Seyed Vahid Razavi-Termeh & Abolghasem Sadeghi-Niaraki & Soo-Mi Choi, 2023. "A Hybridization of Spatial Modeling and Deep Learning for People’s Visual Perception of Urban Landscapes," Sustainability, MDPI, vol. 15(13), pages 1-30, July.
    12. Katsiaryna Bahamazava, 2024. "Urban Mobility: AI, ODE-Based Modeling, and Scenario Planning," Papers 2410.19915, arXiv.org.
    13. Maria Luisa Tumminello & Elżbieta Macioszek & Anna Granà & Tullio Giuffrè, 2023. "Evaluating Traffic-Calming-Based Urban Road Design Solutions Featuring Cooperative Driving Technologies in Energy Efficiency Transition for Smart Cities," Energies, MDPI, vol. 16(21), pages 1-28, October.
    14. Ibrahim Alkhaldy & Pauline Barnett, 2021. "Evaluation of Neighborhood Socio-Economic Status, as Measured by the Delphi Method, on Dengue Fever Distribution in Jeddah City, Saudi Arabia," IJERPH, MDPI, vol. 18(12), pages 1-11, June.
    15. Ahmed M. Al-Wathinani & Dennis G. Barten & Marta Borowska-Stefańska & Paweł Gołda & Noora A. AlDulijan & Mohammad A. Alhallaf & Lujain O. Samarkandi & Abdullah S. Almuhaidly & Mariusz Goniewicz & Wale, 2023. "Driving Sustainable Disaster Risk Reduction: A Rapid Review of the Policies and Strategies in Saudi Arabia," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    16. Husnain Mushtaq & Xiaoheng Deng & Mubashir Ali & Babur Hayat & Hafiz Husnain Raza Sherazi, 2023. "DFA-SAT: Dynamic Feature Abstraction with Self-Attention-Based 3D Object Detection for Autonomous Driving," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    17. Mohammad Ehsanifar & Fatemeh Dekamini & Cristi Spulbar & Ramona Birau & Moein Khazaei & Iuliana Carmen Bărbăcioru, 2023. "A Sustainable Pattern of Waste Management and Energy Efficiency in Smart Homes Using the Internet of Things (IoT)," Sustainability, MDPI, vol. 15(6), pages 1-18, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12655-:d:1221759. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.