TY - GEN
T1 - Analysis of Conflicts and Delays of Cyclists, Vehicles, and Pedestrians at a Busy Intersection in Lima Downtown, Peru
AU - Silva, Jose
AU - Barua, Vera
AU - Silvera, Manuel
AU - Campos, Fernando
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In Lima downtown, highly congested intersections with many cyclists and pedestrians can be observed, where conflicts are very common. Therefore, it is important to reduce conflicts to improve the mobility of all users at intersections. At the intersection of Garcilaso de la Vega and 9 de Diciembre avenues, located in the center of Lima, the behavior of the users was observed, especially that of the cyclists, where the spontaneous routes they have adapted to cross the intersection more quickly were visualized. In this study, two scenarios were evaluated: The first scenario used the current fixed traffic light cycle as the geometry of the location, and it also represented how cyclists cross through unplanned routes. In contrast, the second scenario involved adaptive traffic lights and formalized two routes for cyclists, allowing them to choose more than one alternative depending on the phase they are in when crossing the intersection. The Vissim software was used for modeling, and the SSAM methodology was employed for comparison, which counted the number of conflicts. As a result, the second scenario showed 18% fewer conflicts among users. Additionally, cyclists experienced 18% less delay.
AB - In Lima downtown, highly congested intersections with many cyclists and pedestrians can be observed, where conflicts are very common. Therefore, it is important to reduce conflicts to improve the mobility of all users at intersections. At the intersection of Garcilaso de la Vega and 9 de Diciembre avenues, located in the center of Lima, the behavior of the users was observed, especially that of the cyclists, where the spontaneous routes they have adapted to cross the intersection more quickly were visualized. In this study, two scenarios were evaluated: The first scenario used the current fixed traffic light cycle as the geometry of the location, and it also represented how cyclists cross through unplanned routes. In contrast, the second scenario involved adaptive traffic lights and formalized two routes for cyclists, allowing them to choose more than one alternative depending on the phase they are in when crossing the intersection. The Vissim software was used for modeling, and the SSAM methodology was employed for comparison, which counted the number of conflicts. As a result, the second scenario showed 18% fewer conflicts among users. Additionally, cyclists experienced 18% less delay.
KW - adaptive traffic light
KW - crossing delays
KW - crossing routes
KW - cycle lane
KW - intersection
KW - traffic conflicts
UR - http://www.scopus.com/inward/record.url?scp=85179548829&partnerID=8YFLogxK
U2 - 10.1109/CONIITI61170.2023.10324228
DO - 10.1109/CONIITI61170.2023.10324228
M3 - Conference contribution
AN - SCOPUS:85179548829
T3 - 2023 9th International Conference on Innovation and Trends in Engineering, CONIITI 2023 - Proceedings
BT - 2023 9th International Conference on Innovation and Trends in Engineering, CONIITI 2023 - Proceedings
A2 - Triana, Jenny Paola Hernandez
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Innovation and Trends in Engineering, CONIITI 2023
Y2 - 4 October 2023 through 6 October 2023
ER -