Understanding the potential of emerging digital technologies for improving road safety.
Eskandari Torbaghan, Mehran
Muchanga-Hvelplund, Leila CW
Accid Anal Prev
MetadataShow full item record
Eskandari Torbaghan, M., Sasidharan, M., Reardon, L., & Muchanga-Hvelplund, L. C. (2022). Understanding the potential of emerging digital technologies for improving road safety.. Accid Anal Prev https://doi.org/10.1016/j.aap.2021.106543
Each year, 1.35 million people are killed on the world's roads and another 20-50 million are seriously injured. Morbidity or serious injury from road traffic collisions is estimated to increase to 265 million people between 2015 and 2030. Current road safety management systems rely heavily on manual data collection, visual inspection and subjective expert judgment for their effectiveness, which is costly, time-consuming, and sometimes ineffective due to under-reporting and the poor quality of the data. A range of innovations offers the potential to provide more comprehensive and effective data collection and analysis to improve road safety. However, there has been no systematic analysis of this evidence base. To this end, this paper provides a systematic review of the state of the art. It identifies that digital technologies - Artificial Intelligence (AI), Machine-Learning, Image-Processing, Internet-of-Things (IoT), Smartphone applications, Geographic Information System (GIS), Global Positioning System (GPS), Drones, Social Media, Virtual-reality, Simulator, Radar, Sensor, Big Data - provide useful means for identifying and providing information on road safety factors including road user behaviour, road characteristics and operational environment. Moreover, the results show that digital technologies such as AI, Image processing and IoT have been widely applied to enhance road safety, due to their ability to automatically capture and analyse data while preventing the possibility of human error. However, a key gap in the literature remains their effectiveness in real-world environments. This limits their potential to be utilised by policymakers and practitioners.
Digital technology, Information, Road, Safety, Transport, Accidents, Traffic, Artificial Intelligence, Digital Technology, Humans, Machine Learning, Mobile Applications
External DOI: https://doi.org/10.1016/j.aap.2021.106543
This record's URL: https://www.repository.cam.ac.uk/handle/1810/331385
Attribution-NonCommercial-NoDerivatives 4.0 International
Licence URL: https://creativecommons.org/licenses/by-nc-nd/4.0/
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: email@example.com