Analysis for the sustainability of intelligent transport systems in the United States

¹ University “Turan”, Satpaeva, 16A, 050013, Almaty, Republic of Kazakhstan
² Rostov State Transport University, Narodnogo Opolchenia sq., 2, 344038, Rostov-on-Don, Russia
³ IProcares International Research Center, Yanar street, 08-543938, 00000, Beirut, Lebanon
⁴ Rangsit International College, Rangsit University, 52/347, Lak Hok, Muang, Patum Thani, Thailand

^* Corresponding author: anna.d@rsu.ac.th

Abstract

The economic, social, and ecological wellbeing of a society are all negatively impacted by the traffic congestion issue. Intelligent Transportation Systems (ITS) have been used to better sustainable transportation systems across the globe, helping to lessen the unsustainable effects of the clogged highway issue. The goal may be reached by examining the positive effects ITS deployments have had on urban areas in the United States. In addition to the statewide findings, we also do in-depth research on the economies of seven major Florida communities. A fuzzy-data envelopment analysis (DEA) technique is used instead of the conventional DEA approach for sustainability performance analysis in order to take into account the uncertainty in benefit and cost evaluations. While all of the ITS investments are very successful when looking at the cost-benefit ratio, the findings from the fuzzy-DEA method show that some of them are less efficient than others. This research's TBL findings give a fuller picture of the societal and economic benefits of ITS-related congestion reduction, including its drawbacks, indirect indicators, and environmental advantages. In addition, decision makers had positive findings from TBL analysis of ITS investments and comparisons of sustainability performance of ITS initiatives.