This paper presents a systematic methodology for
identifying and ranking bottlenecks using probe data collected
by commercial GPS fleet management devices. This
methodology is based on the hypotheses that truck speed
distributions can be represented by either a unimodal or
bimodal probability density function, and it proposes a new
reliability measure for evaluating roadway performance.