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A platform for research: civil engineering, architecture and urbanism
Realistic Cellular Automaton Model for Synchronized Two-Lane Traffic - Simulation, Validation, and Applications
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, this thesis 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 ...
Realistic Cellular Automaton Model for Synchronized Two-Lane Traffic - Simulation, Validation, and Applications
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, this thesis 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 ...
Realistic Cellular Automaton Model for Synchronized Two-Lane Traffic - Simulation, Validation, and Applications
Pottmeier, Andreas (author) / Schreckenberg, Michael
2008-02-08
Theses
Electronic Resource
English
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