Development Strategies of Autonomous Vehicles in Taiwan
Keywords:Autonomous vehicles, level of automation, Decision Making and Trial Evaluation Laboratory, Analytic Network Process
Autonomous vehicles can reduce traffic accidents, traffic congestion and parking demand and hence have great potential to become a major transportation mode in the near future. The potential market for autonomous vehicles is huge. Therefore, it is a necessity to develop strategies so as to outperform in this highly competitive world market. This research employs SWOT method to generate 14 criteria for the development of autonomous vehicles. Then, a decision-making method called â€œDecision Making and Trial Evaluation Laboratory-based Analytic Network Processâ€ (DANP) is used to prioritize these criteria. Results show that two criteria that are strengthsâ€“Advanced Driver Assistance Systems (ADAS) and complete supply chain of Information and Communication Technology (ICT ) â€“ should be treated with priority and another criterion â€“ lack of own auto-brand and first-tier supplier â€“ is not the focus. The result is fully coincident with the real situation of industrial development in Taiwan and can be a good reference for Taiwanâ€™s government.
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