A Life-Cycle Cost-Analysis Approach for Emerging Intelligent Transportation Systems with Connected and Autonomous Vehicles

The objective of this paper is to describe five fundamental differences of Life Cycle Cost Analysis (LCCA) between a conventional transportation system and a technology-oriented Intelligent Transportation System (ITS). These five differences are related to the temporal behavior inflation, consideration of uncertainty, out-of-pocket costs, risks in terms technical obsolescence, and inventory management. A novel conceptual ITS LCCA framework which is introduced to capture these differences has the potential to be more effective in a connected and autonomous vehicle (CAV) environment. The findings from an in-depth discussion in the inflation rate indicate that the trend of the inflation rate for ITS components does not need to follow the general trend of consumer and producer price index. In addition, a viable alternative to quantify user cost is introduced by utilizing outputs from traffic simulations combined with traffic delay, vehicle operation, and crash risk cost models. Hypothetical failure rate scenarios were developed through the use of an open-source micro-simulation software namely, SUMO, in a connected vehicle environment. This approach is shown to be useful in quantifying user costs. Moreover, it can be readily implemented within the ITS LCCA framework when actual failure rate information becomes available.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ABE20 Standing Committee on Transportation Economics.
• Authors:
  • Gao, Jingqin
  • Ozbay, Kaan
  • Zuo, Fan
  • Kurkcu, Abdullah
• Conference:
  • Transportation Research Board 97th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2018-1-7 to 2018-1-11
• Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 16p

Subject/Index Terms

• TRT Terms: Automated vehicle control; Benefit cost analysis; Connected vehicles; Intelligent transportation systems; Life cycle costing; Traffic models
• Subject Areas: Data and Information Technology; Economics; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01657883
• Record Type: Publication
• Report/Paper Numbers: 18-03895
• Files: NTL, TRIS, TRB, ATRI
• Created Date: Jan 25 2018 9:33AM