TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
نویسندگان
چکیده
منابع مشابه
Rapid Prediction of Air Traffic for Trajectory Based Operations
Motivated by the fact that air traffic predictions will play a central role in the nextgeneration air transportation system, this research examines the feasibility of developing a computational appliance for rapid prediction of aircraft trajectories. The feasibility demonstration followed a two-pronged strategy of accelerating the trajectory propagation algorithms in an air traffic simulation e...
متن کاملTraffic State Estimation and Prediction under Heterogeneous Traffic Conditions
The recent economic growth in developing countries like India has resulted in an intense increase of vehicle ownership and use, as witnessed by severe traffic congestion and bottlenecks during peak hours in most of the metropolitan cities. Intelligent Transportation Systems (ITS) aim to reduce traffic congestion by adopting various strategies such as providing pre-trip and en-route traffic info...
متن کاملTraffic Accident Prediction Using Vehicle Tracking and Trajectory Analysis
Alsau?--lntelligent visual surveillance for road vehicles is a key camponmt for developing autonomous intelligent transportation sys tem. I n this paper, a probabilistic model for prediction of traliic accidents using 3D model based vehicle tracking is proposed. Sample data including motion trajectories are first obtained by 3D model based vehicle tracking. A fuzzy self-organizing neural networ...
متن کاملAgents for Traffic Simulation
Vehicular traffic is a classical example of a multi-agent system in which autonomous drivers operate in a shared environment. The article provides an overview of the state-of-the-art in microscopic traffic modeling and the implications for simulation techniques. We focus on the short-time dynamics of car-following models which describe continuous feedback control tasks (acceleration and braking...
متن کاملAn Investigation into Conflict Resolution and Trajectory Prediction Aids for Future Air Traffic Control
The continuously increasing air traffic density has become a major challenge in air traffic control (ATC) due to the current ATC systems are approaching maximum capacity. To deal with the problem, an automated conflict resolution aid (CRA) and a trajectory prediction aid (TPA) have been proposed to serve as additional safety layers in the ATC systems. However, whether the proposed automation ai...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2019
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v33i01.33016120