Results 221 to 230 of about 17,260 (260)

Lane change behavior with a side blind zone alert system

Accident Analysis & Prevention, 2008
This in-traffic study explored the effect of a side blind zone alert (SBZA) system on driver lane change behavior. Such a system may help drivers avoid lane change crashes by warning them with a side mirror display when a vehicle is detected in their blind zone.
Raymond J, Kiefer, Jonathan M, Hankey
openaire   +2 more sources

Modeling of decision-making behavior for discretionary lane-changing execution

2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 2016
Modeling of decision-making behavior for discretionary lane-changing execution (DLCE) is fundamental to both movement simulation and controlling design of automatic vehicles. The existing gap acceptance models ingored the nonlinearity of drivers' DLCE decision-making behavior. Therefore, this study tries to analyze and simulate the DLCE decision-making
Jianqiang Nie, Jian Zhang 0011, Xia Wan, Wanting Ding, Bin Ran   +4 more
openaire   +1 more source

Prediction of driver lane-change behavior

2019
Prediction of driver lane-change (LC) behavior is very important to avoid LC related traffic accidents. The aim of this dissertation is to propose a comprehensive framework, including experimental design, modeling, feature selection as well as evaluation, which can be implemented for prediction of driver LC behavior.
openaire   +4 more sources

Towards a Driver Model: Preliminary Study of Lane Change Behavior

2008 11th International IEEE Conference on Intelligent Transportation Systems, 2008
The presented work formulates an framework in which early prediction of drivers lane change behavior is realized. We aim to build a representation of drivers lane change behavior in order to recognize and to predict driver's intentions as a first step towards a realistic driver model.
Ürün Dogan, Johann Edelbrunner, Ioannis Iossifidis   +2 more
openaire   +1 more source

Manifold Learning for Lane-changing Behavior Recognition in Urban Traffic

2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019
Based on manifold learning (ML), a novel driver behavior recognition (DBR) method is proposed in this paper to recognize the lane-changing behaviors of surrounding vehicles based on the camera-only information. In our study, one of the most widely-used ML methods, isometric mapping (Isomap), is adopted to find the latent manifold structure of the ...
Jinghang Li, Chao Lu 0006, Youzhi Xu, Zhao Zhang, Jianwei Gong, Huijun Di   +5 more
openaire   +1 more source

Location-Dependent Lane-Changing Behavior for Arterial Road Traffic

Networks and Spatial Economics, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qi, HongSheng, Wang, DianHai, Chen, Peng, Bie, YiMing   +3 more
openaire   +2 more sources

Characterizing lane changing behavior and identifying extreme lane changing traits

Transportation Letters, 2022
Ishtiak Ahmed, Alan F. Karr, Nagui M. Rouphail, R. Thomas Chase, Shams Tanvir   +4 more
openaire   +1 more source

A Model Study of Lane Changing Based on Driving Behavior

ICCTP 2011, 2011
This paper studies vehicle lane changing behavior in urban arterial streets and analyzes characteristics of driving behaviors when taking lane changes. It also does research on the relation indexes, such as distance between a lane changing vehicle and its surrounding vehicles and their speed.
Jinqiang Xu, Yi Ding, Zhushi Chen
openaire   +1 more source

Effect of Surrounding Traffic Characteristics on Lane Changing Behavior

Journal of Transportation Engineering, 2010
Lane changing maneuvers could have a substantial influence on traffic flow characteristics as a result of their interfering effect on surrounding vehicles. The interference effect of lane changing is more pronounced when heavy vehicles change lanes compared to when passenger cars undertake the same maneuver. This is due to the physical effects that the
Sara Moridpour, Geoff Rose, Majid Sarvi
openaire   +1 more source

Modeling Lane Changing Behavior using Fuzzy Logic

International Conference on Transportation Engineering 2007, 2007
Microscopic traffic simulation is a safe and efficient tool in transport system analysis and management. It can offer a safe, controllable and repeatable environment to study and evaluate the performance of transport network systems under various alternative management options. The model of driver's behavior is a decisive factor for traffic simulation.
Dian-hai Wang, Li-jun Zhou, Wei-qing Li
openaire   +1 more source