Transportation

Abstract Many state and local agencies’ mobility metrics are based upon selected spot speed studies, modeled segment speeds and modeled intersection delays. Field visits to collect speed and mobility data are expensive, time consuming and do not scale. Connected vehicle (CV) data is an emerging data source that provides richer, higher fidelity, scalable and timelier information. However, the shee…

Public transit in rural areas faces the challenge of providing an adequate level of service at a reasonable cost, given very low demand density and long average travel distances. There is an expectation to reduce costs and improve service quality by introducing demand-responsive transportation (DRT). This paper uses a model-based analysis to explore the potential of a high-quality and comprehensi…

Abstract The widespread adoption of Global Positioning Systems (GPS) in transportation has significantly contributed to the understanding of human behavior, enabling the extraction of valuable travel information. However, identifying transportation modes from GPS data remains a complex and under-researched area due to the analytical challenges it presents. While various methods, ranging from rule…