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This is the official implementation of "Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network" (ITSC 2021)

License: MIT License

Python 1.72% Jupyter Notebook 98.28%
multi-agent-reinforcement-learning fleet-management

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taxisimulatorongraph's Issues

hello

I am very interested in your code, can you provide a good data set? thank you very much

IndexError: list index out of range

# test on different driver number
driver_coefficients = [0.1, 0.25, 0.5]

for d in driver_coefficients:
    city = City(g_line, call_generator, driver_initializer, total_driver_number_per_time=total_driver_number_per_time, 
            speed_info = speed_info, name='real_city_with_speed', driver_coefficient=d, consider_speed = True)
    
    test_all_for_city(city, "real_city_with_driver_%.2f" % d)

When I run the last part of the code, I get an error. I don't know if it's a code problem or a data problem. This question has been bothering me for a long time. I am looking forward to your answer. Thank you very much. The error message is as follows:

E:\try-delete\TaxiSimulatorOnGraph-master -aa\TaxiSimulatorOnGraph-master\call_generator.py in generate_call(self, city, is_initialize, seed)
72
73 def generate_call(self, city: City, is_initialize=False, seed=None):
---> 74 call_at_t = self.day_orders[city.city_time]
75 # generate call objects to each road of the city.
76 for call in call_at_t:

IndexError: list index out of range

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