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

Muhammad Azmat, Sebastian Kummer, Lara Trigueiro Moura, Federico Di Gennaro and Rene Moser
Additional contact information
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

Logistics, 2019, vol. 3, issue 2, 1-20

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.

Keywords: autonomous vehicles; connected vehicles; internet of things; Big Data; highway; highway operations; innovation in mobility; transportation; self-driving cars (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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