TY - GEN
T1 - Assessment of an Adaptive Traffic Signal System Based on Vehicle-Pedestrian Conflicts at Intersections with High Vehicular and Pedestrian Demand
AU - Perez, A.
AU - Zevallos, L.
AU - Silvera, M.
AU - Campos, F.
AU - Palacios-Alonso, D.
N1 - Publisher Copyright:
© 2026 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2026
Y1 - 2026
N2 - In urban intersections with high vehicular and pedestrian demand, conflicts between vehicles and pedestrians represent a critical issue affecting both road safety and operational efficiency. This study evaluates three traffic signal control strategies: fixed-time control, adaptive control based on vehicular flow, and adaptive control based on vehicle-pedestrian conflict detection, incorporating safety-oriented criteria into signal timing decisions. The methodology included detailed modeling in PTV VISSIM, control logic implementation in VISVAP, and safety assessment using SSAM, supported by field data collected through RPA and direct observation. Results indicate that the conflict-based adaptive system achieves a 50.9% reduction in total conflicts (from 2204 to 1081), while maintaining acceptable crossing times (7.96 s). Although vehicular flow (1496 veh/access/h) is slightly lower than that of the flow-based adaptive system (1580 veh/access/h), it does not significantly compromise operational efficiency. These findings demonstrate that incorporating conflict detection into traffic signal control improves safety without substantially affecting mobility, supporting its applicability as a balanced and scalable solution for complex urban intersections.
AB - In urban intersections with high vehicular and pedestrian demand, conflicts between vehicles and pedestrians represent a critical issue affecting both road safety and operational efficiency. This study evaluates three traffic signal control strategies: fixed-time control, adaptive control based on vehicular flow, and adaptive control based on vehicle-pedestrian conflict detection, incorporating safety-oriented criteria into signal timing decisions. The methodology included detailed modeling in PTV VISSIM, control logic implementation in VISVAP, and safety assessment using SSAM, supported by field data collected through RPA and direct observation. Results indicate that the conflict-based adaptive system achieves a 50.9% reduction in total conflicts (from 2204 to 1081), while maintaining acceptable crossing times (7.96 s). Although vehicular flow (1496 veh/access/h) is slightly lower than that of the flow-based adaptive system (1580 veh/access/h), it does not significantly compromise operational efficiency. These findings demonstrate that incorporating conflict detection into traffic signal control improves safety without substantially affecting mobility, supporting its applicability as a balanced and scalable solution for complex urban intersections.
KW - Adaptive signal control
KW - conflict detection
KW - road safety
KW - traffic simulation
KW - urban intersections
UR - https://www.scopus.com/pages/publications/105048853091
U2 - 10.18687/LACCEI2026.1.1.1469
DO - 10.18687/LACCEI2026.1.1.1469
M3 - Contribución a la conferencia
AN - SCOPUS:105048853091
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - Proceedings of the 24th LACCEI International Multi-Conference for Engineering, Education and Technology - Engineering without Borders
A2 - Petrie, Maria M. Larrondo
A2 - Texier, Jose
A2 - Matta, Rodolfo Andres Rivas
PB - Latin American and Caribbean Consortium of Engineering Institutions
T2 - 24th LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2026
Y2 - 16 June 2026 through 18 June 2026
ER -