A Bayesian network decision-making method is proposed by combining driver's eye-tracking data and vehicle-based data together to identify driver lane-changing intents. First, experiments are conducted in a driving simulator with eye-tracker device to obtain the data when a subject driver makes lane-changing maneuvers. Second, collected data are analyzed in machine learning method using Bayesian...

Haptic guidance in a shared steering assistance system has drawn significant attention intelligent vehicle fields, owing to its mutual communication ability for control. By exerting continuous torque on the wheel, both driver and support can share lateral control of vehicle. However, current haptic systems demonstrate some deficiencies assisting lane changing. This study explored new interactio...

Frequent lane-changes in highway merging, diverging, and weaving areas often can disrupt traffic flow and, even worse, lead to accidents. For balanced lane-changing areas, where different lanes share the same traffic conditions, based on the observation that a vehicle has to take two lanes during its lane-changing period, we consider its contribution to traffic density is doubled. That is, ther...

Autonomous vehicles hold promise for increased vehicle and traffic safety, there are several developments in the field where one example is an avoidance maneuver. There it dangerous to be opposing lane, but safe drive original lane again after obstacle. To capture this basic observation, a lane-deviation penalty (LDP) objective function devised. Based on function, formulation developed utilizin...

The increasing number of vehicles has caused traffic conditions to become increasingly complicated in terms safety. Emerging autonomous (AVs) have the potential significantly reduce crashes. advanced driver assistance system (ADAS) received widespread attention. Lane keeping and lane changing are two basic driving maneuvers on highways. It is very important for ADAS technology identify them eff...

Modeling and Simulation of the Automated Highway System by Farokh Hassanzadeh Eskafi Doctor of Philosophy in Engineering Electrical Engineering and Computer Sciences University of California at Berkeley Professor Pravin Varaiya, Chair We present the hierarchical structure for the control design of the Automated Highway System (AHS). This control hierarchy has four layers: network, link, coordin...

It is postulated that lane-changing vehicles create voids in traffic streams, and that these voids reduce flow. This mechanism is described with a model that tracks lane changers precisely, as particles endowed with realistic mechanical properties. The model has four easy-to-measure parameters and reproduces without re-calibration two bottleneck phenomena previously thought to be unrelated: (i)...

To investigate and compare the lane changing behavior of passenger cars heavy vehicles during implementation period (defined as interval from start time to end a change maneuver), this study applies gradient boosting decision tree (GBDT) method model cars, respectively. Results show that models vary with vehicle types directions. Different factors are considered by drivers when implementing cha...

In recent years, the construction of lane-level road maps has received extensive attention from industry and academia. It been widely studied because this kind map provides foundation for much research, such as high-precision navigation, driving behavior analysis, traffic analysis. Trajectory-based crowd-mapping is an emerging approach to construction. However, major problem that existing metho...

In this article, a mathematical model was developed to influence the intensity of steering wheel turn by driver on vehicle's stability. Comparison with experiment results made it possible establish their adequacy. The effect three conditional drivers examined. When performing 'J-turn' maneuver, comparing indices 1st, 2nd and 3rd drivers, proximity requirements standard established. It found tha...