Impacts of IoT and big data to automotive industry
DOI: 10.1109/ascc.2015.7244878
archive: archived pipeline: cataloged verified
Get this paper ↗ (DOI — opens at the source; we link to it, we don't host it)
Summary
The provided text consists solely of the title, abstract, and keywords for the paper "Impacts of IoT and big data to automotive industry" (2015). It does not contain the full body of the research, including specific methodologies, detailed experimental designs, quantitative results, or comprehensive conclusions. Therefore, a detailed summary covering methods, specific findings, and significance cannot be generated from the available content without violating the rule against inventing information. However, based strictly on the abstract provided, the paper addresses the potential transformation of the automotive industry through the integration of emerging technologies. The research is motivated by recent advancements in embedded systems, wireless distributed sensors, lightweight materials, smart cognitive radio networks, cloud computing, and high-efficiency propulsion technologies such as ultra-low emission internal combustion engines, intelligent converters, high-performance batteries, and fuel cells. The authors posit that these technological developments make the production of smarter, safer, energy-efficient, and zero-emission vehicles possible in the near future. The scope of the paper extends beyond vehicle-specific technologies to include broader systemic factors necessary for sustainable mobility. These factors include the behavior of road users, the maintenance of road infrastructure and vehicles, driver attitudes, and legal enforcement. The authors argue that these elements must work in concert to preserve natural resources, maintain a cleaner environment, and achieve sustainable mobility. The paper’s primary objective is to discuss the impacts of the Internet of Things (IoT) and Big Data, alongside the aforementioned emerging technologies, on the automotive industry. The discussion is structured around six key domains: education, economy, advanced technology, environment, safety, and energy. While the abstract outlines the thematic areas of investigation, it does not provide specific data, case studies, or empirical results regarding how IoT and Big Data specifically influence these domains. Consequently, the summary is limited to the stated intentions and scope of the work as described in the abstract.
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed.
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-25 |
| archive | success | semantic_scholar | — | — | 6 | 2026-06-26 |
| extract | success | cached | — | — | 5 | 2026-08-07 |
| clean | success | clean | — | — | 1 | 2026-06-26 |
| chunk | success | chunk | — | — | 1 | 2026-06-26 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-26 |
| enrich | success | openalex | — | — | 1 | 2026-06-26 |
| promote | success | — | — | — | 1 | 2026-06-25 |
| summarize | skipped | cached | — | summ-v5 | 5 | 2026-08-23 |
| tag | success | vector_similarity | — | — | 10 | 2026-08-11 |
| verify | success | — | — | — | 2 | 2026-08-08 |
Summary generated by qwen3.6-27b-nvidia on 2026-08-07; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.