Assessing emerging automotive technologies for the future

Abstract

A scenario-based multi-attribute decision-making (MADM) methodology has been developed and applied for the selection of automotive technology. The present study discusses, what are the problems for the current automotive technologies are, what requirements are outlined in the literatures and government guidelines/publications, considering different aspects of technological needs, public needs, policy measures etc. A set of criteria are developed, which cover multiple perspectives; reflecting the diverse stakeholders in the technology assessment, acquisition and adoption, in this case the government, the general public which includes drivers and pedestrians, automobile manufacturers. Three emerging technologies (Vehicle-to-Vehicle communication, Vehicle-to-Infrastructure and Full autonomous) were identified and evaluated based on the mentioned criteria using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a multi criteria decision tool. Since the technologies are still being developed and some are barely emerging, it is considered appropriate to use speculative values from the publications from industry and other credible sources and consider multiple scenarios each of which could occur. In our case, we considered 9 main scenarios and evaluated the three technology candidates under each of them.

Automotive Technology and Patent Assignee in Malaysia: An Exploratory Patent

“…Emerging automotive technology refers to the application of new and innovative technologies that are currently under development and experimentation to enhance the performance, safety, and environmental impact of vehicles. This covers electric vehicles [45,54], self-driving or autonomous vehicles [36,62], sophisticated driver support systems [2,55], connected vehicles [21,44], and other technologies.…”

Sustainable Mobility Driven Prioritization of New Vehicle Technologies, Based on a New Decision-Aiding Methodology

“…Concerning autonomous vehicles, there is only a limited number of articles dealing with the evaluation of vehicles of automation levels 4 and 5, especially in urban areas, based on a CBA or relevant methods or MCA [47,66,81]. This is obviously due to the low maturity level of these new technologies and to the subsequent high degree of uncertainty concerning the parameters that should be considered in such analyses, with the authors expressing concerns relating to the reliability of the derived results, stressing that it is too early to derive sufficiently reliable results.…”

“…In [47], the annual expected economic benefits due to the advent of autonomous vehicles in the U.S.A. are estimated, in terms of safety, traffic congestion and parking. In [81], TOPSIS is applied for the evaluation of three new vehicle technologies (automation level 4, communication system between vehicles, communication system between vehicles and infrastructure), in the form of 9 relevant scenarios. The evaluation is based on five criteria (safety, cost, availability, compatibility, fuel efficiency), defined and weighted by the authors.…”

Technology Selection Using the TOPSIS Method

“…Таble 4. TOPSIS Method in Technology Selection Authors (year) Type of Technology [Habbal et al, 2019] radio access technologies [Gladysz et al, 2017;Wan et al, 2016] radio frequency identification (RFID) [Zhang et al, 2019] energy storage technology [Restrepo-Garcés et al, 2017;Hirushie et al, 2017] renewable energy sources [Karatas et al, 2018] energy technology [Streimikiene, 2013a,b;Streimikiene et al, 2013;Streimikiene, Balezentiene, 2012] electric vehicles [Zheng et al, 2012] green buildings [Peng et al, 2019] restoration technology in engine remanufacturing practice [Aloini et al, 2018] advanced underwater system [Büyüközkan, Güler, 2017] smart glass (SG) [Ansari et al, 2016;Puthanpura et al, 2015] automotive technology [Elahi et al, 2011] ABS sensor technology [Govind et al, 2018] treatment and disposal technology [Ren, 2018] ballast water treatment [Vivekh et al, 2017] desalination technology [Kalbar et al, 2012;Fu et al, 2012] wastewater treatment technology [Jiří, 2018;Mobinizadeh et al, 2016;Gajdoš et al, 2015;Lu et al, 2016] health technology [Lee, James Chou, 2016] emerging three-dimensional integrated circuit (3DIC) [Tavana et al, 2013] advanced-technology projects at NASA [Oztaysi, 2014] information technology [Towhidi et al, 2009] iron-making technology [Parkan, Wu, 1999] robots to perform repetitious, difficult, and hazardous tasks with precision…”