Using Agent-Based Simulation to Determine an Optimal Lane-Changing Strategy on a Multi-Lane Highway
نویسندگان
چکیده
Lane changing can increase or impede the flow of vehicular traffic, depending on traffic density and the lane-changing strategies used by individual drivers. We implement and extend the Nagel-Schreckenberg (N-S) traffic model as an agent-based model to investigate lane-changing behavior on a multi-lane roadway, with the goal of determining which lane changing strategies result in the greatest overall traffic flow. We show that in heavier traffic, an aggressive lane changing policy may be beneficial for overall traffic flow.
منابع مشابه
Towards a more accurate agent-based multi-lane highway simulation
The next several years will see an acceleration of the adoption of intelligent driving aid devices. Studying the impact of such devices on the overall traffic performance and safety requires highly realistic microscopic traffic simulation models, which account not only for the overall traffic flow, but also for the details and variability of the individual driver’s behavior. In this paper, we f...
متن کاملModeling the conscious behavior of drivers for multi-lane highway driving
The current state of the art in simulating highway driving extensively relies on models using formulas similar to those describing physical phenomena such as forces, viscosity or potential fields. While the parametrization of these formulas can account for the limitations of the driver (such as reaction delay), they are badly suited for modeling conscious behavior. In this paper we describe our...
متن کاملLane Change Trajectory Model Considering the Driver Effects Based on MANFIS
The lane change maneuver is among the most popular driving behaviors. It is also the basic element of important maneuvers like overtaking maneuver. Therefore, it is chosen as the focus of this study and novel multi-input multi-output adaptive neuro-fuzzy inference system models (MANFIS) are proposed for this behavior. These models are able to simulate and predict the future behavior of a Dri...
متن کاملDeveloping an Analytical Model and Simulation of The Contraflow Left-Turn Lane at Signalized Intersections
At some intersections, excessive queue lengths may spill out of the left-turn bay and block the through lanes, jeopardizing level of service for the entire intersection. One of the most effective plans recently presented by the researchers is the "Contraflow left-turn lane" (CLL) In this method, left-turn vehicles will use the nearest lane in the opposite direction in addition to the usual left...
متن کاملAssessing Behavioral Patterns of Motorcyclists Based on Traffic Control Device at City Intersections by Classification Tree Algorithm
According to the forensic statistics, in Iran, 26 percent of those killed in traffic accidents are motorcyclists in recent years. Thus, it is necessary to investigate the causes of motorcycle accidents because of the high number of motorcyclist casualties. Motorcyclists' dangerous behaviors are among the causes of events that are discussed in this study. Traffic signs have the important role of...
متن کامل