Traditional path planning methods often struggle with dynamic obstacles, particularly when vehicles and pedestrians frequently change positions. To overcome these limitations, we introduce the GR-RRT model, whic
3.1). By clustering the time series, we can enhance the prediction of the temporal behavior that the relationships exhibit (Subsec. 3.2). For each time series cluster, we determine the best forecasting method and predict the future behavior to enable strategic (long-term) planning of prevention...
For each of the objects, prediction module303predicts what the object will behave under the circumstances. The prediction is performed based on the perception data perceiving the driving environment at the point in time in view of a set of map/rout information311and traffic rules312. For example...
This sections focuses on what would be the most promising combination of actions for the sidewalk scenario in Fig.2. Game theory offers diverse definitions of equilibrium points. We interpret them as recommendations or as a prediction of what is likely to occur. A combination of actions of the ...
In a daily parking environment, moving objects such as pedestrians and vehicles can cause interference in the parking motion; therefore, subsequent research should focus on the dynamic obstacle-avoidance function. Author Contributions Conceptualization, J.S. and C.P.; Data curation, L.C.; Formal ...
Each optimization cycle necessitates calculating the optimal trajectory over the entire prediction horizon, resulting in considerable resource waste, and it fails to ensure real-time performance for spatiotemporal trajectory planning issues. Indirect methods generally use control inputs as decision variables...
Areas with high road density have road systems that enable pedestrians to access many bikes quickly within a short walking range [42]. Some researchers pointed out that intersection density positively impacted the usage of bike sharing, while others obtained the opposite conclusion, the negative ...
Various urban research scholars argue that big data analytics supported by AI-based tools promise benefits in terms of real-time prediction, adaptation, higher energy efficiency, higher quality of life, and accessibility [8,31,32,33]. Data-driven technologies, such as artificial intelligence, sugges...
Areas with high road density have road systems that enable pedestrians to access many bikes quickly within a short walking range [42]. Some researchers pointed out that intersection density positively impacted the usage of bike sharing, while others obtained the opposite conclusion, the negative ...
This method can effectively filter the noise to reduce the error of prediction. The method can effectively predict the traffic flow in the short-term and long-term. However, all the above methods train and calculate the historical data. In the emergency scenario, the existing traffic flow ...