{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T16:46:34Z","timestamp":1778258794749,"version":"3.51.4"},"reference-count":59,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2023,2,24]],"date-time":"2023-02-24T00:00:00Z","timestamp":1677196800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,2,17]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Connected vehicles (CVs) are an emerging technology in intelligent transportation systems. Currently, many data-driven intelligent transportation systems (D2ITS) use CV data. Unfortunately, these D2ITS still need serious improvement before they meet higher-level visualization needs. Thus, we aim to develop a new, intelligent data-driven transportation system framework. We focus on visualizing real-time CV data using a big data analytic system in urban areas. In response, we first propose an effective real-time data distribution approach within the Vehicular Ad-hoc NETwork. Second, we develop novel strategies for aggregating, extracting and ingesting data. We provide scalable and fault-tolerant delivery methods without interruption or delay. Finally, we proposed a novel visualization REpresentational State Transfer (REST) web service. We used Simulation of Urban MObility, OMNET++ and Veins to simulate a traffic incident dataset. Then, we tested the Basic Safety Messages in an experimental big data cluster. We used NIFI, Kafka and Cassandra for ingestion, distribution, delivery and storage. The results show accurate performance for packet loss, packet delivery and communication delay. Also, it indicates high throughput and low latency for distributed data delivery systems. Additionally, we obtained the smallest response time for the RESTFUL visualization web service.<\/jats:p>","DOI":"10.1093\/comjnl\/bxad001","type":"journal-article","created":{"date-parts":[[2023,2,24]],"date-time":"2023-02-24T13:34:32Z","timestamp":1677245672000},"page":"557-580","source":"Crossref","is-referenced-by-count":7,"title":["Toward a Novel RESTFUL Big Data-Based Urban Traffic Incident Data Web Service for Connected Vehicles"],"prefix":"10.1093","volume":"67","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7368-9783","authenticated-orcid":false,"given":"Samia","family":"Hireche","sequence":"first","affiliation":[{"name":"Smart Grids and Renewable Energies (SGRE) Laboratory , Cloud Computing and Artificial Intelligence (CCAI) Team, Faculty of Exact Sciences, , Independence Street, Bechar 08000 , Algeria"},{"name":"TAHRI Mohamed University , Cloud Computing and Artificial Intelligence (CCAI) Team, Faculty of Exact Sciences, , Independence Street, Bechar 08000 , Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2133-0765","authenticated-orcid":false,"given":"Abdeslem","family":"Dennai","sequence":"additional","affiliation":[{"name":"Smart Grids and Renewable Energies (SGRE) Laboratory, Cloud Computing and Artificial Intelligence (CCAI) Team, Faculty of Exact Sciences, TAHRI Mohamed University , Independence Street, Bechar 08000 , Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8204-0919","authenticated-orcid":false,"given":"Boufeldja","family":"Kadri","sequence":"additional","affiliation":[{"name":"Smart Grids and Renewable Energies (SGRE) Laboratory , Electronics and Power Electronics Applications in Energy Conversion Systems Team, , Independence Street, Bechar 08000 , Algeria"},{"name":"TAHRI Mohamed University , Electronics and Power Electronics Applications in Energy Conversion Systems Team, , Independence Street, Bechar 08000 , Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2023,2,24]]},"reference":[{"key":"2024021913330669600_ref1","doi-asserted-by":"crossref","first-page":"1624","DOI":"10.1109\/TITS.2011.2158001","article-title":"Data-driven intelligent transportation systems: Asurvey","volume":"12","author":"Zhang","year":"2011","journal-title":"IEEE Trans. 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