modeling

The market for plug-in electric vehicles (PEVs) that primarily include battery electric vehicles (BEVs) and plug-in hybrid vehicles (PHEVs) has been rapidly growing in California for the past few years. Given the targets for PEV penetration in the state, it is important to have a better understanding of the pattern of technology diffusion and the factors that are driving the process. Using spatial analysis and Poisson count models, the researchers identify the importance of a neighborhood effect (at home locations) and a workplace effect (at commute destinations) in supporting the diffusion of PEV technology in California.

This report assesses life cycle-based greenhouse gas standards.

In this study, a tool was developed to automatically link travel demand model outputs with MOVES-Matrix to provide emissions estimates at both the link and overall inventory level.

This research develops efficient deployment strategies for logistics companies with new alternative fuel vehicles.

This paper discusses the impact of Variable Speed Limit sign distance on the effectiveness and performance of VSL control. It proposes a rule-based VSL strategy that matches the outflow of the upstream VSL zone with the bottleneck capacity based on a multi-section Cell Transmission Model.

This report uses the state-of-the-practice transportation demand model, the Sacramento Council of Governments SACSIM19 model, to examine (1) the model's representation of induced travel, (2) the influence of variation in key inputs on vehicle travel and roadway congestions, and (3) the effect of changes in induced travel-related input variables on the comparisons of scenarios with and without highway expansions.

This paper develops a customized method for computational solution of equilibrium in the basic bathtub model with smooth preferences that exploits the mathematical structure of the problem. The researchers then apply their model to traffic congestion.