Effect of driver’s awareness (e.g., to estimate the speed and arrival time of another vehicle) on the lane changing maneuver is discussed. “Scope awareness” is defined as the visibility which is required for the driver to make a visual perception about road condition and the speed of vehicle that appears in the target lane for lane changing in the road. Cellular automaton based simulation model...

In this paper, we analyze the kinematics of the vehicles involved in a lane changing/merging maneuver, and study the conditions under which lane changing/merging crashes can be avoided. That is, given a particular lane change/merge scenario, we calculate the minimum longitudinal spacing which the vehicles involved should initially have so that no collision, of any type, takes place during the m...

This paper investigated the effect of drivers’ visibility and their perception (e.g., to estimate the speed and arrival time of another vehicle) on the lane changing maneuver. The term of scope awareness was used to describe the visibility required by the driver to make a perception about road condition and the speed of vehicle that exist in that road. A computer simulation model was conducted ...

One of the riskiest maneuvers that a driver has to perform in a conventional highway system is to merge into the traffic and/or to perform a lane changing maneuver. Lane changing/merging collisions are responsible for one-tenth of all crash-caused traffic delays often resulting in congestion. Traffic delays and congestion, in general, increase travel time and have a negative economic impact. In...

The lane-change maneuver prediction system for human drivers is valuable for advanced driver assistance systems (ADAS) in terms of avoiding unnecessary maneuver efforts or unsafe merging, as well as encouraging lane-change behaviors that could increase travel efficiency. Learning the decision-making process of an intended lane changing is essential to model semi/full autonomous vehicles control...

Maneuvers of a nonholonomic vehicle in a structured dynamic environment are considered. The paper focuses on motion generation and control methods to autonomously perform lane following/changing and parallel parking maneuvers. Lane following/changing involves the tracking of a nominal trajectory in the traac lane, and the generation and tracking of local lane-changing trajectories, for instance...

The current lane change maneuver for vehicles in a platoon under the California PATH automated highway system (AHS) architecture is inefficient, because the follower has to split from the rest of the platoon before making a lane change. In this paper, we propose to add a lane change within platoons maneuver that allows a follower to change lanes and be inserted into another platoon directly wit...

Drivers continuously evaluate the surrounding traffic and the roadway environment, and make decisions about lanes and travel speed. The objective of this thesis is to develop a lane changing model that can be used in microscopic traffic simulation models to capture drivers' lane changing behavior. Lane change is modeled as a sequence of four steps: decision to consider a lane change, choice of ...

the lane change maneuver is among the most popular driving behaviors. it is also the basic element of important maneuvers like overtaking maneuver. therefore, it is chosen as the focus of this study and novel multi-input multi-output adaptive neuro-fuzzy inference system models (manfis) are proposed for this behavior. these models are able to simulate and predict the future behavior of a driver...

The lane change maneuver is among the most popular driving behaviors. It is also the basic element of important maneuvers like overtaking maneuver. Therefore, it is chosen as the focus of this study and novel multi-input multi-output adaptive neuro-fuzzy inference system models (MANFIS) are proposed for this behavior. These models are able to simulate and predict the future behavior of a Dri...