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• W1518437216 abstract "An objective of current traffic-research is the realistic description of vehicular traffic by means of traffic modeling. Since no present traffic model is capable to reproduce all empirical characteristics, the development of such a model is of main interest. Thus, thisthesis presents a realistic cellular automaton model for multi-lane traffic and validates it by means of empirical single-vehicle data. In contrast to present approaches a limited deceleration capability is assigned to the vehicles. Moreover, the velocity of the vehicles is determined on the basis of the local neighborhood. Therefore, the drivers are divided into optimistic or pessimistic drivers. The former may underestimate their safety distance if their neighborhood admits it. The latter always keep a safe distance. This results in a convincing reproduction of the microscopic and macroscopic features of synchronized traffic. The anticipation of the leader’s velocity is hereby essential for the reproduction of synchronized traffic.This thesis is divided into three main parts. The first one validates the single-lane model by Lee et al. by means of empirical data. This approach builds the basis for the further developments of this thesis. Then, the fundamental characteristics are summarized. This is followed by new results concerning the comparison with empirical findings that confirm the good reproduction of the reality. The analyses also show the important and fundamental property of synchronized traffic: its density dependent life-time. Nevertheless, accidents appear in the stationary state. Thus, the model approach has to be modified so that it is capable to model multi-lane traffic.The adapted model is enhanced in the next part by a realistic lane change algorithm. A multi-lane model is formulated that reproduces the empirical data even better than the single-lane approach. Moreover, specific two-lane characteristics like the density dependent lane change frequency are reproduced as well as the coupling of the lanes. Moreover, if the velocity difference between the two lanes is too high, the lanes may decouple, i.e., different traffic states emerge on the two lanes. This is a direct consequence of the limited deceleration capability of the vehicles.In the last part of the thesis the two-lane model is applied to open systems with bottlenecks like an on-ramp and a speed-limit. The empirically observed complex structures of the synchronized traffic are reproduced here in great detail. Thus, the approach discussed inthis thesis exceeds the present in the degree of realism. Because of the reliability of the presented model it is supposed to be implemented to simulate the whole network of North Rhine-Westphalia." @default.
• W1518437216 created "2016-06-24" @default.
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• W1518437216 date "2008-02-08" @default.
• W1518437216 modified "2023-09-27" @default.
• W1518437216 title "Realistic Cellular Automaton Model for Synchronized Two-Lane Traffic - Simulation, Validation, and Applications" @default.
• W1518437216 hasPublicationYear "2008" @default.
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