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Future Outlook of Highway Operations with Implementation of Innovative Technologies Like AV, CV, IoT and Big Data

Author

Listed:
  • Muhammad Azmat

    (Institute for Transport and Logistics Management, WU (Vienna University of Economics and Business), Welthandelsplatz 1, 1020 Vienna, Austria)

  • Sebastian Kummer

    (Institute for Transport and Logistics Management, WU (Vienna University of Economics and Business), Welthandelsplatz 1, 1020 Vienna, Austria)

  • Lara Trigueiro Moura

    (A-to-Be (Brisa), Lagoas Park, Ed. 15, Piso 4, 2740-267 Porto Salvo, Portugal)

  • Federico Di Gennaro

    (AISCAT Servizi, Via Gaetano Donizetti, 10, 00198 Roma, Italy)

  • Rene Moser

    (ASFINAG, Rotenturmstraße 5–9, 1010 Vienna, Austria)

Abstract

In the last couple of decades, there has been an unparalleled growth in number of people who can afford motorized vehicles. This is increasing the number of vehicles on roads at an alarming rate and existing infrastructure and conventional methods of traffic management are becoming inefficient both on highways and in urban areas. It is very important that our highways are up and running 24/7 as they not only provide a passage for human beings to move from one place to another, but also are the most important mode for intercity or international transfer of goods. There is an utter need of adapting the new world order, where daily processes are driven with the help of innovative technologies. It is highly likely that technological advancements like autonomous or connected vehicles, big data and the Internet of things can provide highway operators with a solution that might resolve unforeseeable challenges. This investigative exploratory research identifies and highlights the impact of new technological advancements in the automotive industry on highways and highway operators. The data for this research was collected on a Likert scale type online survey, from different organizations around the world (actively or passively involved in highway operations). The data was further tested for its empirical significance with non-parametric binomial and Wilcoxon signed rank tests, supported by a descriptive analysis. The results of this study are in line with theoretical and conceptual work done by several independent corporations and academic researchers. It is evident form the opinions of seasoned professionals that these technological advancements withhold the potential to resolve all potential challenges and revolutionize highway operations.

Suggested Citation

  • Muhammad Azmat & Sebastian Kummer & Lara Trigueiro Moura & Federico Di Gennaro & Rene Moser, 2019. "Future Outlook of Highway Operations with Implementation of Innovative Technologies Like AV, CV, IoT and Big Data," Logistics, MDPI, vol. 3(2), pages 1-20, June.
    • Handle: RePEc:gam:jlogis:v:3:y:2019:i:2:p:15-:d:241192
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    References listed on IDEAS

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    1. Yingxu Wang & Jun Peng, 2017. "Big Data Analytics: A Cognitive Perspectives," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 11(2), pages 41-56, April.
    2. Hua-pu Lu & Zhi-yuan Sun & Wen-cong Qu, 2015. "Big Data-Driven Based Real-Time Traffic Flow State Identification and Prediction," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-11, August.
    3. Emel Aktas & Yuwei Meng, 2017. "An Exploration of Big Data Practices in Retail Sector," Logistics, MDPI, vol. 1(2), pages 1-28, December.
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    Citations

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    Cited by:

    1. Ahmed Azab & Jaehyun Park & Noha A. Mostafa, 2021. "Smart Mobile Application for Short-Haul Cargo Transportation," Logistics, MDPI, vol. 5(2), pages 1-14, June.
    2. Åse Jevinger & Carl Magnus Olsson, 2021. "Introducing an Intelligent Goods Service Framework," Logistics, MDPI, vol. 5(3), pages 1-20, August.
    3. Evelyne Tina Kassai & Muhammad Azmat & Sebastian Kummer, 2020. "Scope of Using Autonomous Trucks and Lorries for Parcel Deliveries in Urban Settings," Logistics, MDPI, vol. 4(3), pages 1-25, August.
    4. Sophie Wintersberger & Muhammad Azmat & Sebastian Kummer, 2019. "Are We Ready to Ride Autonomous Vehicles? A Pilot Study on Austrian Consumers’ Perspective," Logistics, MDPI, vol. 3(4), pages 1-20, September.
    5. Genta Miyama & Masakatsu Fukumoto & Ritsuko Kamegaya & Masahito Hitosugi, 2020. "Risk Factors for Collisions and Near-Miss Incidents Caused by Drowsy Bus Drivers," IJERPH, MDPI, vol. 17(12), pages 1-11, June.
    6. M. Azizur Rahman & Al-Amin Hossain & Binoy Debnath & Zinnat Mahmud Zefat & Mohammad Sarwar Morshed & Ziaul Haq Adnan, 2021. "Intelligent Vehicle Scheduling and Routing for a Chain of Retail Stores: A Case Study of Dhaka, Bangladesh," Logistics, MDPI, vol. 5(3), pages 1-21, September.

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