A method to estimate urban work zone intersection capacity under multiple influencing factors

Work zones generate significant congestion in urban centers, yet the influence of various capacity factors arterials and intersections are poorly understood. This paper analyzes following on arterial intersection work zone from 22 intersections: heavy vehicle flow, percentage, length, maximum speed limit, entrance lane width, left turn volumes, exit width reductions, length width. An was modeled using VISSIM simulation software, regression models were developed based reduction coefficients with MATLAB software for fitting analysis. The results show that proposed model estimated high accuracy. Urban found to reduce by 64% selected 35% intersection, corresponding increases delay queue length. also estimates improvement can be expected given mitigation factors. Transportation agencies may find useful when planning construction critical centers.