How to use the traci.trafficlight.setPhase function in traci

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Ujwal2910 / Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision / Traffic Modeling Real Vision Based / new_adapt.py View on Github

def makeMove(action, transition_time):
    if action == 1:
        traci.trafficlight.setPhase("0", (int(traci.trafficlight.getPhase("0")) + 1) % 4)




    # traci.simulationStep()
    # traci.simulationStep()
    # traci.simulationStep()
    # traci.simulationStep()

    return getState(transition_time)

Ujwal2910 / Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision / Traffic Modeling Real Vision Based / Agent_v3_phase_based.py View on Github

Average_Q_lengths = []
sum_q_lens = 0
AVG_Q_len_perepisode = []
num_history = 20
batch_history = 20
transition_time = 50
model = build_model(batch_history)
print(model.summary())



generate_routefile()
traci.start([sumoBinary, "-c", "data/cross.sumocfg",
                 "--tripinfo-output", "tripinfo.xml"])

traci.trafficlight.setPhase("0", 0)

nA = 4###
state = getState()
experience = []
for i in range(num_history):
    experience.append(state)

for episode in range(num_episode):
    traci.trafficlight.setPhase("0", 0)

    print("INITIAL EXPERIENCE : ")
    print(experience)
    counter = 0
    stride = 0
    while traci.simulation.getMinExpectedNumber() > 0:
        print("Episode # ", episode)

Ujwal2910 / Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision / Traffic Modeling Real Vision Based / Agent_v3_switch_based_new_exp.py View on Github

def makeMove(action, transition_time, experience):
    if action == 1:
        traci.trafficlight.setPhase("0", (int(traci.trafficlight.getPhase("0")) + 1) % 4)

    for _ in range(transition_time):
        experience.pop(0)
        traci.simulationStep()
        experience.append(getState())

    # traci.simulationStep()
    # traci.simulationStep()
    # traci.simulationStep()
    # traci.simulationStep()

    newState = getState()

    return newState, experience

Ujwal2910 / Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision / Traffic Modeling Real Vision Based / new_single_multi_rewards.py View on Github

def makeMove(leftAction, rightAction, transition_time):

    if leftAction == 1:
        traci.trafficlight.setPhase("0", (int(traci.trafficlight.getPhase("0")) + 1) % 4)
    if rightAction == 1:
        traci.trafficlight.setPhase("10", (int(traci.trafficlight.getPhase("10")) + 1) % 4)

    return getState(transition_time)

TJ1812 / Adaptive-Traffic-Signal-Control-Using-Reinforcement-Learning / traffic_light_control.py View on Github

'2si') + traci.edge.getLastStepHaltingNumber('1si')
                for i in range(10):
                    stepz += 1
                    reward1 += traci.edge.getLastStepVehicleNumber(
                        '4si') + traci.edge.getLastStepVehicleNumber('3si')
                    reward2 += traci.edge.getLastStepHaltingNumber(
                        '2si') + traci.edge.getLastStepHaltingNumber('1si')
                    traci.trafficlight.setPhase('0', 0)
                    waiting_time += (traci.edge.getLastStepHaltingNumber('1si') + traci.edge.getLastStepHaltingNumber(
                        '2si') + traci.edge.getLastStepHaltingNumber('3si') + traci.edge.getLastStepHaltingNumber('4si'))
                    traci.simulationStep()

            if(action == 1 and light[0][0][0] == 1):
                for i in range(6):
                    stepz += 1
                    traci.trafficlight.setPhase('0', 5)
                    waiting_time += (traci.edge.getLastStepHaltingNumber('1si') + traci.edge.getLastStepHaltingNumber(
                        '2si') + traci.edge.getLastStepHaltingNumber('3si') + traci.edge.getLastStepHaltingNumber('4si'))
                    traci.simulationStep()
                for i in range(10):
                    stepz += 1
                    traci.trafficlight.setPhase('0', 6)
                    waiting_time += (traci.edge.getLastStepHaltingNumber('1si') + traci.edge.getLastStepHaltingNumber(
                        '2si') + traci.edge.getLastStepHaltingNumber('3si') + traci.edge.getLastStepHaltingNumber('4si'))
                    traci.simulationStep()
                for i in range(6):
                    stepz += 1
                    traci.trafficlight.setPhase('0', 7)
                    waiting_time += (traci.edge.getLastStepHaltingNumber('1si') + traci.edge.getLastStepHaltingNumber(
                        '2si') + traci.edge.getLastStepHaltingNumber('3si') + traci.edge.getLastStepHaltingNumber('4si'))
                    traci.simulationStep()

AndreaVidali / Deep-QLearning-Agent-for-Traffic-Signal-Control / tlcs_train.py View on Github

def _set_green_phase(self, action_number):
        if action_number == 0:
            traci.trafficlight.setPhase("TL", PHASE_NS_GREEN)
        elif action_number == 1:
            traci.trafficlight.setPhase("TL", PHASE_NSL_GREEN)
        elif action_number == 2:
            traci.trafficlight.setPhase("TL", PHASE_EW_GREEN)
        elif action_number == 3:
            traci.trafficlight.setPhase("TL", PHASE_EWL_GREEN)

Ujwal2910 / Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision / Traffic Modeling Real Vision Based / new_2intersections.py View on Github

def makeMove(action, transition_time):
    if action == 1:
        traci.trafficlight.setPhase("0", (int(traci.trafficlight.getPhase("0")) + 1) % 4)




    # traci.simulationStep()
    # traci.simulationStep()
    # traci.simulationStep()
    # traci.simulationStep()

    return getState(transition_time)

Ujwal2910 / Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision / Traffic Modeling Real Vision Based / dual_intersection.py View on Github

def makeMoves(leftAction, rightAction, transition_time):
    if leftAction == 1:
        traci.trafficlight.setPhase("0", (int(traci.trafficlight.getPhase("0")) + 1) % 4)
    if rightAction == 1:
        traci.trafficlight.setPhase("10", (int(traci.trafficlight.getPhase("10")) + 1) % 4)

    return getStates(transition_time)

AndreaVidali / Deep-QLearning-Agent-for-Traffic-Signal-Control / tlcs_train.py View on Github

def _set_green_phase(self, action_number):
        if action_number == 0:
            traci.trafficlight.setPhase("TL", PHASE_NS_GREEN)
        elif action_number == 1:
            traci.trafficlight.setPhase("TL", PHASE_NSL_GREEN)
        elif action_number == 2:
            traci.trafficlight.setPhase("TL", PHASE_EW_GREEN)
        elif action_number == 3:
            traci.trafficlight.setPhase("TL", PHASE_EWL_GREEN)

How to use the traci.trafficlight.setPhase function in traci

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