ROAD CONGESTION PREVENTION MODELS BASED ON DATA FROM DIFFERENT SOURCES.
Keywords:
Road traffic, vehicles, models, traffic, traffic safety, speed, cars.Abstract
This article analyzes data from various sources on road congestion prevention models. Approaches to reduce congestion include modeling traffic flow, using intelligent transportation systems, improving transportation infrastructure, developing public transportation, and providing information to drivers. The article explains how these models can be used together to improve the efficiency of modern transport systems and ensure road safety. As a result, it identifies the key factors needed to develop innovative solutions and strategies in traffic prevention.
References
Papageorgiou, A., & Kotsialos, A. (2002). "Traffic Flow Theory and Traffic Control." Transportation Research Part C: Emerging Technologies, 10(1), 1-19.
Koutsopoulos, H. N., & Whitford, A. (2002). "Intelligent Transportation Systems: A Review." Transportation Research Part C: Emerging Technologies, 10(1), 1-19.
Gipps, P. G. (1986). "A Model for the Longitudinal Dynamics of Car Following." Transportation Research Part B: Methodological, 20(5), 403-414.
Chen, C., & Wei, C. (2010). "Traffic Flow Prediction with Support Vector Machines." Journal of Transportation Engineering, 136(5), 485-493.
Litman, T. (2011). "Transportation and Environmental Policy." Journal of Transport and Land Use, 4(1), 1-18.
Daganzo, C. F. (1994). "The Cell Transmission Model: A New Approach to Traffic Flow Theory." Transportation Research Part B: Methodological, 28(4), 269-288.
Zhang, L., & Xie, K. (2013). "A Review of Traffic Flow Prediction Models." Transportation Research Part C: Emerging Technologies, 36, 1-16.