Results 31 to 40 of about 206,344 (279)
Connected and automated vehicles (CAVs) provide the most intriguing opportunity to reduce energy consumption and travel delays. In this paper, we propose a two-level control architecture for CAVs to optimize (1) the vehicle's speed profile, aimed at ...
Mahbub, A M Ishtiaque +1 more
core +1 more source
Car-following models have been studied for a long time, and many traffic engineers and researchers have devoted attention to them. With the increase in machine learning, this paper proposes a fusion model based on the physics-informed deep learning ...
Le Xu, Jianxiao Ma, Yuchen Wang
doaj +1 more source
Overview of lane-keeping assist system based on human–machine cooperative control
As the final stage of intelligent vehicle, traffic accidents can be effectively reduced by automatic driving. However, neither the technology nor the regulations are mature for autonomous driving.
Zeng-ke QIN, Lie GUO, Yue MA, Ming YUE
doaj +1 more source
Driving Cars by Means of Genetic Algorithms [PDF]
Proceedings of: 10th International Conference on Parallel Problem Solving From Nature, PPSN 2008. Dortmund, Germany, September 13-17, 2008The techniques and the technologies supporting Automatic Vehicle Guidance are an important issue.
Isasi, Pedro +3 more
core +2 more sources
Identifying Modes of Intent from Driver Behaviors in Dynamic Environments
In light of growing attention of intelligent vehicle systems, we propose developing a driver model that uses a hybrid system formulation to capture the intent of the driver. This model hopes to capture human driving behavior in a way that can be utilized
Bajcsy, Ruzena +1 more
core +1 more source
A first approach to understanding and measuring naturalness in driver-car interaction [PDF]
With technology changing the nature of the driving task, qualitative methods can help designers understand and measure driver-car interaction naturalness. Fifteen drivers were interviewed at length in their own parked cars using ethnographically-inspired
Giacomin, J +3 more
core +1 more source
Long-term trajectory prediction method based on highway vehicle-following behavior patterns
To address existing shortcomings such as short time domains and low interpretability, this study proposes a long-term trajectory prediction model for leading vehicles that considers the impact of traffic flow.
Zhichao An +7 more
doaj +1 more source
A Microscopic Traffic Flow Model Characterization for Weather Conditions
Road surfaces are affected by rain, snow, and ice, which influence traffic flow. In this paper, a microscopic traffic flow model based on weather conditions is proposed. This model characterizes traffic based on the weather severity index.
Faryal Ali +3 more
doaj +1 more source
Towards a variational principle for motivated vehicle motion
We deal with the problem of deriving the microscopic equations governing the individual car motion based on the assumptions about the strategy of driver behavior.
B. S. Kerner +27 more
core +1 more source
Conceptual Model for an Intelligent Persuasive Driver Assistant
Traffic congestion is a serious issue for large cities. This is especially critical for cities that has insufficient mass transit system like Bangkok. Although transportation infrastructure projects and rail mass transit lines are being implemented, these efforts require major financial investment and take a long time to complete. This work proposes
Siam Yamsaengsung, Borworn Papasratorn
openaire +2 more sources

