مجلة الاستراتيجية والانفتاح الاقتصادي
Auteurs : عيسى ميمون . قروج بوزيان .
Traffic accidents constitute a multifaceted global crisis, with repercussions extending beyond their tragic human toll to include immense economic burdens estimated at 3% of GDP in most countries. This research examines the pivotal role of technology and innovation in addressing this crisis, reviewing cutting-edge technologies such as Intelligent Transportation Systems (ITS), Artificial Intelligence (AI) and Machine Learning, Advanced Driver Assistance Systems (ADAS), Connected Vehicles (V2X), smart infrastructure, and accident response systems. The study employs a systematic literature review of scientific literature and international reports and analyzes the potential economic savings from implementing these technologies. Findings indicate significant return on investment potential, with models suggesting investment cost recovery within 13 years through accident avoidance savings, and annual social benefits reaching up to €47.4 billion in Europe at 30% penetration rates. The research concludes that strategic investment in transportation technology is not optional but an economic and humanitarian imperative, recommending policies that support technological integration, develop regulatory frameworks, and enhance international cooperation to achieve the "Vision Zero" goal for road safety. This quantitative study demonstrates that traffic accidents consume approximately 3% of global GDP, and that the adoption of computer vision, artificial intelligence, and intelligent transport systems can substantially mitigate these costs. Using statistical methodology, analysis of a sample from the transport and insurance sectors revealed a strong negative correlation (r = -0.68) between the level of technological integration and financial losses, with high statistical significance. The multiple regression model revealed that computer vision and predictive artificial intelligence together account for 56% of the variance in reducing economic costs. The findings confirm that the shift from reactive safety measures to proactive, data-driven prevention represents an economic imperative. The study provides a practical framework for decision-makers to direct technological investments toward achieving tangible returns and reducing both financial and human burdens.
Traffic Accidents ; Economic Cost ; Intelligent Transportation Systems ; Systems, Artificial Intelligence, Road Safety ; , Connected Vehicles ; Technological Innovation