Lane-changing behavior on urban streets: a focus group-based study.

As lane-changing behavior has received increasing attention during the recent years, various algorithms have been developed. However, most of these models were derived and validated using data such as vehicle trajectories, with no consideration of driver characteristics. In this research, focus group studies were conducted to obtain driver-related information so that the driver characteristics can be incorporated into lane-changing models. Different urban lane-changing scenarios were examined and discussed in the focus group meetings. The likelihood for initiating lane changes under each scenario was obtained. The participating drivers were categorized according to their background information and verbal responses, so that the lane-changing behavior can be related to driver characteristics for each group. Two types of information, quantitative and qualitative responses from participants, were used to establish this relationship. The paper concludes by providing recommendations related to the implementation of study findings into micro-simulators to better replicate driver behavior in urban street networks.

[1]  Robert Tibshirani,et al.  Estimating the number of clusters in a data set via the gap statistic , 2000 .

[2]  Richard A. Krueger,et al.  Focus groups : a practical guide for applied research / by Richard A. Krueger , 1989 .

[3]  Yunlong Zhang,et al.  Multiregime Approach for Microscopic Traffic Simulation , 1998 .

[4]  Alexandra Kondyli,et al.  Driver Behavior at Freeway-Ramp Merging Areas , 2009 .

[5]  David M Levinson,et al.  Weighting Waiting: Evaluating Perception of In-Vehicle Travel Time Under Moving and Stopped Conditions , 2004 .

[6]  Nitin Gupta,et al.  The effects of adverse condition warning system characteristics on driver performance: An investigation of alarm signal type and threshold level , 2002, Behav. Inf. Technol..

[7]  Mats Wiklund,et al.  The long-term effect of Intelligent Speed Adaptation on driver behaviour. , 2010, Applied ergonomics.

[8]  Byung Rae Cho,et al.  Industrial Engineering Research - Conference Proceedings , 1997 .

[9]  Keishi Tanimoto,et al.  A game theoretic analysis of merging-giveway interaction: a joint estimation model , 2002 .

[10]  Haris N. Koutsopoulos,et al.  Modeling Integrated Lane-Changing Behavior , 2003 .

[11]  P. G. Gipps,et al.  A MODEL FOR THE STRUCTURE OF LANE-CHANGING DECISIONS , 1986 .

[12]  Angelos Amditis,et al.  Driver-Vehicle-Environment monitoring for on-board driver support systems: lessons learned from design and implementation. , 2010, Applied ergonomics.

[13]  Richard van der Horst,et al.  Occlusion as a measure for visual workload: an overview of TNO occlusion research in car driving. , 2004 .

[14]  Janet Mancini Billson,et al.  Focus Groups: A Practical Guide for Applied Research , 1989 .

[15]  Soheila Soltani Crane,et al.  An Empirical Study of Alternative Fuel Vehicle Choice by Commercial Fleets: Lessons in Transportation Choices, and Public Agencies' Organization , 1996 .

[16]  Carlos F. Daganzo,et al.  Lane-changing in traffic streams , 2006 .

[17]  Charisma Farheen Choudhury,et al.  Modeling driving decisions with latent plans , 2007 .

[18]  C. Collet,et al.  Physiological and behavioural changes associated to the management of secondary tasks while driving. , 2009, Applied ergonomics.

[19]  Peter Hidas,et al.  Modelling vehicle interactions in microscopic simulation of merging and weaving , 2005 .

[20]  D.M. Mount,et al.  An Efficient k-Means Clustering Algorithm: Analysis and Implementation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[21]  Neville A Stanton,et al.  Does advanced driver training improve situational awareness? , 2009, Applied ergonomics.

[22]  Lily Elefteriadou,et al.  Research and Implementation of Lane-Changing Model Based on Driver Behavior , 2010 .

[23]  K. Ahmed.  Modeling drivers' acceleration and lane changing behavior , 1999 .

[24]  Thiruvengada Ramanujam,et al.  DEVELOPING A FORMALISM FOR GIBSON’S AFFORDANCES USING COLORED PETRI NETS , 2007 .

[25]  P C Cacciabue,et al.  A numerical tool for reproducing driver behaviour: experiments and predictive simulations. , 2010, Applied ergonomics.

[26]  Catherine M. Burns,et al.  Applications of cognitive work analysis , 2008 .

[27]  Harilaos N. Koutsopoulos,et al.  A microscopic traffic simulator for evaluation of dynamic traffic management systems , 1996 .

[28]  Pietro Carlo Cacciabue,et al.  A simple model of driver behaviour to sustain design and safety assessment of automated systems in automotive environments. , 2010, Applied ergonomics.

[29]  Alexandra Kondyli,et al.  Modeling Vehicle Interactions during Lane‐Changing Behavior on Arterial Streets , 2010, Comput. Aided Civ. Infrastructure Eng..

[30]  Fabio Tango,et al.  Field tests and machine learning approaches for refining algorithms and correlations of driver's model parameters. , 2010, Applied ergonomics.

[31]  Michael A. P. Taylor.  TRANSPORTATION AND TRAFFIC THEORY IN THE 21ST CENTURY: PROCEEDINGS OF THE 15TH INTERNATIONAL SYMPOSIUM ON TRANSPORTATION AND TRAFFIC THEORY, ADELAIDE, AUSTRALIA, 16-18 JULY 2002 , 2002 .

[32]  T. Gärling,et al.  Car-user responses to travel demand management measures: goal setting and choice of adaptation alternatives , 2004 .