Nonparametric Modeling of Vehicle-Type-Specific Headway Distribution in Freeway Work Zones

作者：Dong, Shangjia; Wang, Haizhong^*; Hurwitz, David; Zhang, Guohui; Shi, Jianjun

来源：Journal of Transportation Engineering-ASCE, 2015, 141(11): 05015004.

DOI：10.1061/(ASCE)TE.1943-5436.0000788

• Headway distribution
• Freeway work zone
• Nonparametric approach

This paper presents a vehicle-type-specific headway distribution analysis in a freeway work zone. The goal of this paper is to provide a vehicle-type-specific model with different time periods using empirical work-zone data from highway I-91 in Greenfield, MA. A nonparametric approach with a Gaussian kernel is used to describe the vehicle-type-specific headway distribution in a freeway work zone. No assumption is required on how the headways should be distributed for nonparametric methods. The vehicles are classified into Car, Van, and Truck based on a FHWA vehicle-type classification scheme. Statistical tests indicate nonparametric distribution with Gaussian kernel outperforms the lognormal distribution in statistical sense according to the chi(2) values. Further, another work zone dataset from Jacksonville, FL is utilized to examine the mixed headway scenario without specifying vehicle types. The K - S and Chi-square test results suggest the necessity of considering the vehicle types separately. Following the results, a discussion regarding why nonparametric model is better and the future research directions are presented.

• 出版日期2015-11
• 单位北京工业大学