Results 1 - 10 of 18

Overtaking a slower-moving vehicle by an autonomous vehicle

by T Shamir - in ICSC Symp. Eng. Intel. Systems , 2004
"... ABSTRACT In the past few years there is much research on various aspects of control of autonomous vehicles. However, it seems that the problem of overtaking a slower-moving vehicle has been somewhat neglected. This paper deals with the three-phase overtaking maneuver and with designing a smooth and ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
and ergonomic optimal lane-change trajectory on a straight road. It is shown that the absolute shape, size and time of the first-phase trajectory do not depend on the velocity of the leading, slower-moving vehicle. Only the absolute point for initiating the diversion is affected. The relatively simple

Intention-Aware Autonomous Driving Decision-Making in an Uncontrolled Intersection

by Weilong Song , Guangming Xiong , Huiyan Chen
"... Autonomous vehicles need to perform social accepted behaviors in complex urban scenarios including human-driven vehicles with uncertain intentions. This leads to many difficult decision-making problems, such as deciding a lane change maneuver and generating policies to pass through intersections. I ..."
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Autonomous vehicles need to perform social accepted behaviors in complex urban scenarios including human-driven vehicles with uncertain intentions. This leads to many difficult decision-making problems, such as deciding a lane change maneuver and generating policies to pass through intersections

Reconciling Strategic and Tactical Decision Making in Agent-oriented Simulation of Vehicles in Urban Traffic. In:

by Maksims Fiosins , Jelena Fiosina , Jörg P Müller , Jana Görmer - ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), , 2011
"... ABSTRACT We consider an integrated decision making process of autonomous vehicles in agent-oriented simulation of urban traffic systems. In our approach, the planning process for a vehicle agent is separated into two stages: strategic planning and tactical planning. During the strategic planning st ..."
Abstract - Cited by 3 (2 self) - Add to MetaCart
stage the vehicle agents constructs the optimal route from source to destination; during the tactical planning stage the operative decisions such as speed regulation and lane change are considered. For strategic planning we modify the stochastic shortest path algorithm with imperfect knowledge about

Automatic symbolic traffic scene analysis using belief networks

by T. Huang, D. Koller, J. Malik, G. Ogasawara, B. Rao, S. Russell, J. Weber - PROCEEDINGS 12TH NATIONAL CONFERENCE IN AI , 1994
"... Automatic symbolic traffic scene analysis is essential to many areas of IVHS (Intelligent Vehicle Highway Systems). Traffic scene information can be used to optimize traffic flow during busy periods, identify stalled vehicles and accidents, and aid the decision-making of an autonomous vehicle contro ..."
Abstract - Cited by 75 (8 self) - Add to MetaCart
Automatic symbolic traffic scene analysis is essential to many areas of IVHS (Intelligent Vehicle Highway Systems). Traffic scene information can be used to optimize traffic flow during busy periods, identify stalled vehicles and accidents, and aid the decision-making of an autonomous vehicle

A perception mechanism for supporting autonomous intersection handling in urban driving

by Young-woo Seo, Chris Urmson - In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems , 2008
"... Abstract — Knowledge of the driving environment is essential for robotic vehicles to comply with traffic rules while autonomously traversing intersections. However, due to limited sensing coverage and continuous changes in driving conditions, rigidly-mounted sensors may not guarantee coverage of all ..."
Abstract - Cited by 5 (2 self) - Add to MetaCart
Abstract — Knowledge of the driving environment is essential for robotic vehicles to comply with traffic rules while autonomously traversing intersections. However, due to limited sensing coverage and continuous changes in driving conditions, rigidly-mounted sensors may not guarantee coverage

Detailed Traffic Animation for Urban Road Networks

by Jingjing Shena, Xiaogang Jina
"... We present a new agent-based system for detailed traffic animation on urban arterial networks with diverse junctions like signalized crossing, merging and weaving areas. To control the motion of traffic for visualization and animation purposes, we utilize the popular follow-the-leader method to simu ..."
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to simulate various vehicle types and intelligent driving styles. We also introduce a continuous lane-changing model to imitate the vehicle’s decision-making process and dynamic interactions with neighboring vehicles. By ap-plying our approach in several typical urban traffic scenarios, we demonstrate

unknown title

by unknown authors
"... Abstract—Based on a non-linear single track model which describes the dynamics of vehicle, an optimal path planning strategy is developed. Real time optimization is used to generate reference control values to allow leading the vehicle alongside a calculated lane which is optimal for different objec ..."
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objectives such as energy consumption, run time, safety or comfort characteristics. Strict mathematic formulation of the autonomous driving allows taking decision on undefined situation such as lane change or obstacle avoidance. Based on position of the vehicle, lane situation and obstacle position

A Machine Vision Based Surveillance System for California Roads

by J. Malik, S. Russell
"... Automatic symbolic traffic scene analysis is essential to many areas of IVHS (Intelligent Vehicle Highway Systems). Traffic scene information can be used to optimize traffic flow during busy periods, identify stalled vehicles and accidents, and aid the decision-making of an autonomous vehicle contro ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
Automatic symbolic traffic scene analysis is essential to many areas of IVHS (Intelligent Vehicle Highway Systems). Traffic scene information can be used to optimize traffic flow during busy periods, identify stalled vehicles and accidents, and aid the decision-making of an autonomous vehicle

Agents for Traffic Simulation

by Arne Kesting, Martin Treiber, Dirk Helbing , 2008
"... 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 o ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
to mandatory and discretionary lane changes. Furthermore, we consider the decision process whether to brake or not when approaching a traffic light turning from green to amber. Another aspect of vehicular traffic is related to the heterogeneity of drivers. We discuss a hybrid system of coupled vehicle

FACILITATING NO-NOTICE EVACUATION THROUGH OPTIMAL PICK-UP LOCATION SELECTION FINAL REPORT

by Graduate Research Assistant Dr Sirui Liu , Principal Investigator Pamela Murray-Tuite , 7 Author , Sirui Liu , Ph.D Pamela Murray-Tuite
"... Abstract Under no-notice disasters, dependents in facilities such as schools and daycare centers usually wait for their families to pick them up. This family pickup behavior could increase individual evacuation time and cause extra delay to other vehicles in the network. Relocating the dependents t ..."
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to other pickup sites may facilitate no-notice evacuation. This study developed an optimization model to determine optimal pickup locations, assuming that all evacuating families have personal vehicles; the objective is to maximize the number of evacuees who can successfully pick up dependents
Results 1 - 10 of 18