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Evolving Collective Driving Behaviors
International Joint Conference on Autonomous Agents and Multiagent Systems, 2017Recently there has been increased research interest in developing autonomous, adaptive control systems of self-driving vehicles. However, there has been little work on synthesizing collective behaviours for autonomous vehicles that must safely interact and coordinate so as traffic throughput on any given road network is maximized.
Chien-Lun Huang, Geoff Nitschke
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Driving Citations and Aggressive Behavior
Traffic Injury Prevention, 2012Anger and driving have been examined in a number of studies of aggressive drivers and in drivers with road rage using various psychological and environmental study variables. However, we are not aware of any study that has examined the number of driving citations (an indication of problematic driving) and various forms of anger not related to driving ...
Randy A, Sansone +2 more
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Perceived risks and driving behavior
Accident Analysis & Prevention, 1986Claims have been made that safer cars result in drivers who take more risks. However, there are two basic design changes that make cars safer: the first reduces the likelihood of a crash; the second reduces the chance of injury during a crash. Because design changes that reduce the likelihood of a crash also often provide direct and immediate feedback,
A K, Lund, B, O'Neill
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Learning to Predict Risky Driving Behaviors for Autonomous Driving
2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), 2020The most critical issue in the autonomous car is safety. Many kinds of research were proposed in recent years, such as car accident, obstacle, lane detection, and sign recognition, to study this issue. However, we can observe that some clues can be seen before the crash occurs.
Chih-Chung Hsu +2 more
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Estimating driving behavior by a smartphone
2012 IEEE Intelligent Vehicles Symposium, 2012In this paper, we propose an approach to understand the driver behavior using smartphone sensors. The aim for analyzing the sensory data acquired using a smartphone is to design a car-independent system which does not need vehicle mounted sensors measuring turn rates, gas consumption or tire pressure.
Haluk Eren +3 more
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A SEMANTIC APPROACH TO DRIVING BEHAVIOR ANALYSIS
Journal of Circuits, Systems and Computers, 2009The aim of this work is to propose a semantic approach to driving behavior analysis. The analyzed vehicle motion parameters are accelerations and positions. Both are sampled using an embedded low-cost lightweight architecture. The authors start from a linguistic description of the problem ontology demonstrating that the selected parameters are ...
DI LECCE, Vincenzo +2 more
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Passion for Driving and Aggressive Driving Behavior: A Look at Their Relationship
Journal of Applied Social Psychology, 2009The purpose of the present research was to investigate the relationship between passion for driving and aggressive driving behavior in 3 studies. Study 1 examined the association between passion and aggressive driving behavior in a sample of undergraduate students.
Philippe, Frederick L. +4 more
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Abnormal Driving Detection Based on Normalized Driving Behavior
IEEE Transactions on Vehicular Technology, 2017Abnormal driving behavior may cause serious danger to both the driver and the public. In this study, we propose to detect abnormal driving by analyzing normalized driving behavior. Serving as the virtual driver, a personalized driver model is established for speed control purposes by using the locally designed neural network and the real-world vehicle ...
Jie Hu 0014, Li Xu, Xin He, Wuqiang Meng
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Assessing Social Driving Behavior
2019Recent advances in Artificial Intelligence are making automated vehicles an ever closer reality. However, we should expect a period when full or partial autonomous vehicles and ordinary cars coexist, during which it would be essential to fully understand the cognitive processes used by ordinary people when driving.
Grasso, Giorgio +2 more
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Modeling Motorway Driving Behavior
Transportation Research Record: Journal of the Transportation Research Board, 1999Microscopic traffic simulation constitutes a useful method for predicting the effects of new transport telematic systems on road traffic. In such a simulation, the driver model is a key element describing the dynamic individual driving behavior in relation to the vehicle, the road environment, and other traffic participants.
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