Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
July 26, 2011IEEE Transactions on Intelligent Transportation Systems

Data-Driven Intelligent Transportation Systems: A Survey

View Full Paper
Ask AI
Bookmark
Share

Authors

JZJunping ZhangFWFei‐Yue WangKWKunfeng Wang

Discussion

Loading...

Member takes

Overview

Literature review demonstrates the evolution of data-driven intelligent transportation systems in modern transit networks, highlighting key components, deployment challenges, and privacy needs.

Key Points

  • Provide a comprehensive survey of data-driven intelligent transportation systems (D2 ITS), analyzing their architectural components, functional transitions, and operational challenges.
  • Reviewed the technological shift from traditional technology-driven systems to multifunctional, vision-driven, and learning-algorithm-driven transportation frameworks.
  • Analyzed multisource data collection, component functionalities, and deployment barriers across modern transportation systems.
  • Identified a clear operational shift toward privacy-aware and people-centric transportation architectures optimized by machine learning and vision data.
  • Categorized key deployment hurdles and synthesized future research directions for robust, large-scale data integration in smart transit networks.

Cite This Study

Zhang et al. (2011) studied this question.

synapsesocial.com/papers/6a00a9847ac91c5d2a2d6e15https://doi.org/10.1109/tits.2011.2158001
View Full Paper
Ask AI
Bookmark
Share