Smart Traffic Flow: Engineering Turn Lanes, Slip Ramps, and Signal Systems for Congestion Mitigation

Abstract

Urban traffic congestion poses significant challenges to mobility, safety, and sustainability, particularly in rapidly growing metropolitan areas. This study evaluates the effectiveness of integrating dedicated turn lanes, slip ramps, and adaptive traffic signal control (ATSC) systems to mitigate congestion, using a case study of Peachtree Road and Lenox Road in Atlanta, Georgia. A mixed-methods approach, combining literature synthesis, VISSIM microsimulation, and field data analysis, was employed to assess six scenarios: baseline, turn lane, slip ramp, ATSC, integrated (with V2I communication), and multimodal (with pedestrian, cyclist, and transit priority). Results show that the integrated scenario reduced average delay by 41.4%, improved LOS from E to B, increased throughput by 14.6%, and decreased crashes by 25%. The multimodal scenario achieved a 36.2% delay reduction while enhancing non-motorized and transit performance. Challenges, including high costs, right-of-way limitations, and safety concerns, were identified, with recommendations for phased implementation and stakeholder engagement. The study provides a framework for designing smart traffic flow systems, emphasizing synergy, equity, and technological integration. Findings are relevant for urban planners seeking evidence-based solutions to congestion in high-traffic corridors.