TY  - JOUR
PY  - 2024//
TI  - Advancing the white phase mobile traffic control paradigm to consider pedestrians
JO  - Computer-aided civil and infrastructure engineering
A1  - Niroumand, Ramin
A1  - Hajibabai, Leila
A1  - Hajbabaie, Ali
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
N2  - Current literature on joint optimization of intersection signal timing and connected automated vehicle (CAV) trajectory mostly focuses on vehicular movements paying no or little attention to pedestrians. This paper presents a methodology to safely incorporate pedestrians into signalized intersections with CAVs and connected human-driven vehicles (CHVs). The movements of vehicles are controlled using both traffic lights and mobile CAV controllers during our newly introduced "white phase." CAVs navigate platoons of CHVs through the intersection when the white phases are active. In addition to optimizing CAV trajectories, the model optimally selects the status of the traffic light signal among white and green indications for vehicular and walk and do-not-walk intervals for pedestrian movements. A receding horizon-based methodology is used to capture the stochastic nature of the problem and to reduce computational complexity. The case study results show the successful operation of fleets consisting of pedestrians, CAVs, and CHVs with various demand levels through isolated intersections. The results also show that increasing the CAV market penetration rate (MPR) can decrease average intersection delay by up to 27%. Moreover, the average pedestrian, CHV, and CAV delays decrease as the CAV MPR increases and reach their minimum values with a fully CAV fleet. In addition, the presence of the white phase can decrease the intersection average delay by up to 14.7%.<p />  <p>Language: en</p>
LA  - en
SN  - 1093-9687
UR  - http://dx.doi.org/10.1111/mice.13178
ID  - ref1
ER  -