Abstract
The intelligent driver (ID) model characterizes traffic behavior with a constant acceleration exponent and does not follow traffic physics. This results in unrealistic traffic behavior. In this paper, a new microscopic heterogeneous traffic flow model is proposed which improves the performance of the ID model. The forward and lateral distance headways are used to characterize traffic behavior. The stability of the ID and proposed models is examined over a 1000 m circular road with a traffic disturbance after 30 s. The results obtained show that the proposed model is more stable than the ID model. The performance of the proposed and ID models is evaluated over an 1800 m circular road for 150 s with a platoon of 51 vehicles. Results are presented which indicate that traffic evolves realistically with the proposed model. This is because it is based on the lateral distance headway.
Subject
General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)
Reference40 articles.
1. Urban road transportation externalities: Costs and choice of policy instruments;Timilsina;World Bank Res. Obs.,2011
2. Relation between traffic density and capacity drop at three freeway bottlenecks;Chung;Transp. Res. Methodol.,2007
3. Capacity drop: A comparison between stop-and-go wave and standing queue at lane-drop bottleneck;Yuan;Transp. Transp. Dyn.,2017
4. Measuring urban traffic congestion-a review;Rao;Int. J. Traffic Transp. Eng.,2012
5. Local feedback-based mainstream traffic flow control on motorways using variable speed limits;Carlson;IEEE Trans. Intell. Transp. Syst.,2011
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