Ali Soltani-Sobh

TL;DR: In this paper, the relationship between the market share of electric vehicles and the presence of government incentives, and other influential socioeconomic factors were examined, based on a cross-sectional/time-series (panel) analysis.

TL;DR: In this paper, the authors focus on the quantification of improved reliability, which reduces the time of annealing and recovery post uncertain disruption, by using three performance functions that estimate the total travel time, flow, and consumer surplus.

TL;DR: In this paper, an approach for evaluating the performance reliability, considering the uncertainty in both demand and supply sides of the road network due to an unexpected event, is presented, where elastic demand is modeled with lognormal distribution and a logit-based stochastic user equilibrium is formulated to present the traveler's uncertain behavior in route choice.

TL;DR: In this paper, an integer programming model is developed based on reliability facility location and most reliable path to overcome the disruption of both the recovery centers and paths, and the methodology is applied on the Sioux Falls real transportation network.

TL;DR: In this article, the authors estimate the potential loss of fuel tax revenue and greenhouse gas emissions, dependents of fuel consumption, that resulted from the fuel efficiency improvement, and model fuel consumption as a system of equations consisting of vehicle miles traveled and fuel efficiency (in mpg) as two explanatory variables.