Set starting times and distance to TL individually
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@ -2,16 +2,24 @@
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{
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"oem": "BENTLEY",
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"modelType": "Continental",
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"vin": "SCBFR7ZA5CC072256"
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"vin": "SCBFR7ZA5CC072256",
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"startingVelocity": 130,
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"startingDistance": 300
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},
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{
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"oem": "SATURN",
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"modelType": "Vue",
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"vin": "5GZCZ43D13S812715"
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"vin": "5GZCZ43D13S812715",
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"startingVelocity": 130,
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"startingDistance": 500,
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"startingTime": 15
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},
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{
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"oem": "SATURN",
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"modelType": "Vue2",
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"vin": "5GZCZ43D13S812716"
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"vin": "5GZCZ43D13S812716",
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"startingVelocity": 130,
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"startingDistance": 100,
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"startingTime": 25
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}
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]
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@ -1,6 +1,8 @@
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import sys
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import time
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import geopy.distance
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import requests
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from dse_shared_libs import daf, traffic_light_state, traffic_light_color, target_velocity
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@ -38,7 +40,16 @@ if __name__ == '__main__':
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switching_time=traffic_light['switchingTime']).start()
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time.sleep(0.5)
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for car in cars['cursor']:
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for index, car in enumerate(cars['cursor']):
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print(car)
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Vehicle(vin=car['vin']).start_driving()
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time.sleep(15)
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# Get location of first TL
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tl_1_loc = geopy.Point(47.89584, 16.20719)
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# Calculate starting point by going south of TL_location the amount specified in cars.json
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d = geopy.distance.distance(kilometers=car['startingDistance'] / float(1000))
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starting_point = d.destination(point=tl_1_loc, bearing=182)
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starting_velocity = car['startingVelocity']
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print('StartingPoint is {} and startingVelocity is {}'.format(starting_point, starting_velocity))
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Vehicle(vin=car['vin'], starting_point=starting_point, starting_velocity=starting_velocity).start_driving()
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# Sleep for amount of seconds defined in second car before second car starts
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if len(cars['cursor']) > 1 and index < len(cars['cursor']) - 1:
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time.sleep(cars['cursor'][index + 1]['startingTime'])
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