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(b) Assume that a dataset is collected for traffic crash analysis. The dataset contains data of severe traffic crashes between 2015 and 2019 in Australia. The description of the dataset is listed in Table 1. Suggest two (2) additional variables that can be included in traffic crash analysis. Explain the rationale of their inclusion. Table 1. Description of the dataset Field Description Experience The driving experience of the driver (Under 7 years/7-14 years/Over 14 years) Fatigue Whether the crash involves fatigue driving (True False) Drunk Drug Whether the crash involves drunk or drug driving (True/False) Road Tyre The type of road where the crash occurs (E.8, Highway, Freeway, etc) Road Aliment The alignment of the road where the crash occurs (EA., Straight, Down-curve Slope, Up.curve, etc) Mark Sian Whether there are well-equipped markings and signs at the location where the crash happens (True/False) Safety. Eacility Whether there are well-equipped road safety facilities at the location where the crash happens (True False) Time of Day The time of the day when the crash happens Region The district where the crash occurs Vehicle Type The type of the vehicle (Bus/Truck/Private car/Others) Num. Vehicle Number of vehicles involved in the crash Severity Whether the crash is fatal (True/False) (30 marks) Identify one (1) limitation of traffic crash analysis using the dataset stated in Table 1 and propose one (1) way to address the limitation. (Note: The limitation should not be about the lack of variables as stated in part (b).) (10 marks)