Abstract
This paper presents the validation method and its evaluation of the spontaneous braking and lane changing with scope awareness parameter. By using the real traffic flow data, the traffic cellular automaton model that accommodate these two driver behaviors, e.g., spontaneous braking and driver scope awareness has been compared and evaluated. The real traffic flow data have been observed via video-recording captured from real traffic situation. The validation results shown that by accommodate spontaneous braking and scope awareness parameters, the model can produced traffic flow's accuracy value 83.9% compared to the real traffic flow data. Keywords—traffic model validation; spontaneous braking; scope awareness; traffic cellular automaton.
Highlights
Validation is one of the important processes in the field of simulation and modeling
The validation process is concerned with determining whether the conceptual simulation model is an accurate representation of the system under study
This paper evaluates the simulation model that accommodates the driver behavior rules of spontaneous braking probability and lane changing scope awareness, by www.ijarai.thesai.org (IJARAI) International Journal of Advanced Research in Artificial Intelligence, Vol 2, No 7, 2013 compare their simulation results to the real traffic data
Summary
Validation is one of the important processes in the field of simulation and modeling. Since travel demand increases at a rate often greater than the addition of road capacity, the situation will continue to deteriorate unless better traffic management strategies are implemented To coup this problem, traffic simulation models are becoming as one of the important tool for traffic control. The simulation results showed that traffic congestion can be effected by spontaneous braking behavior in the urban roadway with density ρ ≤ 0.75. By taking into consideration the scope awareness parameter, the proposed traffic cellular automata model can reflect certain characteristics of lane changing maneuver in the real traffic situation. This paper evaluates the simulation model that accommodates the driver behavior rules of spontaneous braking probability and lane changing scope awareness, by www.ijarai.thesai.org (IJARAI) International Journal of Advanced Research in Artificial Intelligence, Vol 2, No 7, 2013 compare their simulation results to the real traffic data.
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