TY - JOUR
T1 - Synchronous Management of Mixed Traffic at Signalized Intersections Toward Sustainable Road Transportation
AU - Reddy, Radha
AU - Almeida, Luis
AU - Gaitan, Miguel Gutierrez
AU - Santos, Pedro M.
AU - Tovar, Eduardo
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2023
Y1 - 2023
N2 - 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 (up to 14.4%) and reducing travel delays (up to 64.4%) and associated fuel consumption (up to 25.5%) when compared to the best of the other approaches.
AB - 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 (up to 14.4%) and reducing travel delays (up to 64.4%) and associated fuel consumption (up to 25.5%) when compared to the best of the other approaches.
KW - fuel efficiency
KW - intelligent intersection management
KW - intelligent transportation system
KW - Sustainable road transportation
KW - synchronous intersection management
KW - traffic throughput
KW - travel time loss
UR - http://www.scopus.com/inward/record.url?scp=85163541007&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2023.3288691
DO - 10.1109/ACCESS.2023.3288691
M3 - Article
AN - SCOPUS:85163541007
SN - 2169-3536
VL - 11
SP - 64928
EP - 64940
JO - IEEE Access
JF - IEEE Access
ER -