Construction and Evaluation of Risk Index System for Intelligent Transportation System Development Project
- DOI
- 10.2991/978-94-6463-200-2_33How to use a DOI?
- Keywords
- Intelligent transportation system; Risk identification; Analytic hierarchy process; Coping strategy
- Abstract
This article defines and analysis the risks of intelligent transportation systems that are different from the traditional IT project development process, it combines the types of risks in the development process of traditional IT projects, and forms a two-tier risk index evaluation system suitable for intelligent transportation system development projects. The analytic hierarchy process calculates the weights of the risk indicators at each level, and then sorts and groups all the risk indicators based on the Pareto analysis, and propose different coping strategies for different grades of potential risks. And put forward specific countermeasures based on the impact of risks, so as to provide a basis for decision-making for risk identification and prevention of intelligent transportation system development projects.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jiajia Xu AU - Xuemei Li PY - 2023 DA - 2023/07/26 TI - Construction and Evaluation of Risk Index System for Intelligent Transportation System Development Project BT - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023) PB - Atlantis Press SP - 307 EP - 317 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-200-2_33 DO - 10.2991/978-94-6463-200-2_33 ID - Xu2023 ER -