AI‐assisted data dissemination methods for supporting intelligent transportation systems†. Issue 1 (7th August 2020)

• Record Type: Journal Article
• Authors: Sun, Peng; Boukerche, Azzedine
• Is Part Of: Internet technology letters. Volume 4:Issue 1(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-08-07
• Subjects: artificial intelligence -- data dissemination -- data pre‐caching -- intelligent transportation system -- prediction; Internet -- Periodicals; 004.67805
• DOI: 10.1002/itl2.169
• Languages: English
• ISSNs: 2476-1508

Abstract

Abstract : As an essential component of Smart Cities, the intelligent transportation system (ITS) utilizes a large number of deployed traffic monitoring equipment and Internet‐of‐Vehicles technologies to timely transfer traffic management measures formulated based on accurately grasped real‐time traffic conditions to all transportation system participants for improving the operating efficiency and safety of the transportation system. The key to achieving this advantage is effective data transmission. Correspondingly, by exploiting these recorded massive traffic data, a variety of AI‐assisted data transmission methods are designed to improve the data transmission performance in the vehicular network environment (VNE) to ensure the effective operation of ITS. To help readers get an initial understanding of how AI technology can help with data transmission in VNE, in this letter, we will discuss two types of AI‐assisting methods targeting the data dissemination performance enhancement in vehicle‐to‐vehicle (V2V) and vehicle‐to‐infrastructure (V2I) communications respectively in detail, that is, predictive handover/pre‐caching algorithm and predicted traffic flow‐assisted data routing protocols. Additionally, empirical evaluation is conducted to demonstrate the effectiveness of the discussed methods. Abstract : Reliable and efficient data transmission is the key to achieving the primary design objective of the intelligent transportation system (ITS), that is, improving the operating efficiency and safety of the transportation system, as an essential component of smart cities. Accordingly, for ensuring the effective operation of ITS, we will introduce and evaluate two types of AI‐assisting methods targeting the data dissemination performance enhancement in the vehicular network environment (VNE), that is, predictive handover/pre‐caching algorithm and predicted traffic flow‐assisted data routing protocols, respectively.