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Smart city article details
| Title | Assaying Traffic Settings With Connected And Automated Mobility Channeled Into Road Intersection Design |
|---|---|
| ID_Doc | 10625 |
| Authors | Tumminello M.L.; Zare N.; Macioszek E.; Granà A. |
| Year | 2025 |
| Published | Smart Cities, 8, 3 |
| DOI | http://dx.doi.org/10.3390/smartcities8030086 |
| Abstract | Highlights: What are the main findings? Integrating road intersection geometric design with smart vehicle technologies enhances the benefits of well-designed road infrastructure, optimizing traffic efficiency as the prevalence of smart vehicles continues to rise. Traffic settings involving connected and automated vehicles (CAVs) can inform the design of road intersections within the context of smart cities, using microsimulation to analyze performance in mixed urban traffic environments. What is the implication of the main finding? Support the development of expertise in the comparative analysis of the performance of alternative intersection designs that incorporate smart vehicle technologies. The microsimulation-driven framework underlines the importance of effective calibration to promote the development of evaluation methodologies for intersection designs and smart mobility integration in city planning. This paper presents a microsimulation-driven framework to analyze the performance of connected and automated vehicles (CAVs) alongside vehicles with human drivers (VHDs), channeled towards assessing project alternatives in road intersection design. The transition to fully automated mobility is driving the development of new intersection geometries and traffic configurations, influenced by increasing market entry rates (MERs) for CAVs (CAV-MERs), which were analyzed in a microsimulation environment. A suburban signalized intersection from the Polish road network was selected as a representative case study. Two alternative design hypotheses regarding the intersection’s geometric configurations were proposed. The Aimsun micro-simulator was used to hone the driving model parameters by calibrating the simulated data with reference capacity functions (RCFs) based on CAV factors derived from the Highway Capacity Manual 2022. Cross-referencing the conceptualized geometric design solutions, including a two-lane roundabout and an innovative knee-turbo roundabout, allowed the experimental results to demonstrate that CAV operation is influenced by the intersection layout and CAV-MERs. The research provides an overview of potential future traffic settings featuring CAVs and VHDs operating within various intersection designs. Additionally, the findings can support project proposals for the geometric and functional design of intersections by highlighting the potential benefits expected from smart driving. © 2025 by the authors. |
| Author Keywords | connected and automated vehicles; knee-turbo roundabout; roundabouts; signalized intersections; smart mobility; sustainable road design; traffic microsimulation |
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