Synchronous Management of Mixed Traffic at Signalized Intersections towards Sustainable Road Transportation

In urban road transportation, intersections are traffic bottlenecks with increased waiting delays and associated adverse effects. A recently proposed intelligent intersection management (IIM) approach, the Synchronous Intersection Management Protocol (SIMP), synchronizes the vehicles access to simpl...

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Bibliographic Details
Published in:IEEE access 2023-06, p.1-1
Main Authors: Reddy, Radha, Almeida, Luis, Gaitan, Miguel Gutierrez, Santos, Pedro M., Tovar, Eduardo
Format: Article
Language:English
Subjects:
fuel efficiency
Fuels
intelligent intersection management
intelligent transportation system
Intelligent transportation systems
Protocols
Road transportation
Safety
Sensors
Sustainable development
Sustainable road transportation
synchronous intersection management
Throughput
Traffic control
traffic throughput
travel time loss
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Summary:In urban road transportation, intersections are traffic bottlenecks with increased waiting delays and associated adverse effects. A recently proposed intelligent intersection management (IIM) approach, the Synchronous Intersection Management Protocol (SIMP), synchronizes the vehicles access to simple single-lane isolated intersections, outperforming competing approaches in various performance metrics. In this paper, we apply SIMP to multi-lane intersections, increasing significantly the applicability of the protocol while dealing with the additional complexity emerging from the multiple crossing conflicts. Using the SUMO simulator, we compare the performance of SIMP with two conventional (Round-Robin - RR and Trivial Traffic Light Control - TTLC) and two IIM approaches (Intelligent Traffic Light Control - ITLC and Q-learning based Traffic Light Control - QTLC) under continuous and interrupted upstream traffic flows scenarios in urban settings. The results using a maximum speed of 30 km/h confirm the superiority of SIMP, improving traffic throughput (~ 14.4%) and reducing travel delays (~ 64.4%) and associated fuel consumption (~ 25.5%) when compared to the best of the other approaches.
ISSN:2169-3536
DOI:10.1109/ACCESS.2023.3288691