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Globally, numerous people died in road traffic crashes every year. For the betterment of the public at large, ways to alleviate the frequency and severity of traffic crashes have been the primary concerns of many governments. In fact, many traffic crashes can be avoided with the implementation of effective policies and regulations. 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) Whether the crash involves fatigue driving (True/False) Whether the crash involves drunk or drug driving (True/False) The type of road where the crash occurs (E.g., Highway, Freeway, etc) The alignment of the road where the crash occurs (E.g., Straight, Down-curve, Slope, Up-curve, etc) Whether there are well-equipped markings and signs at the location where the crash happens (True/False) Whether there are well-equipped road safety facilities at the location where the crash happens (True False) The time of the day when the crash happens The district where the crash occurs The type of the vehicle (Bus/Truck/Private car/Others) Number of vehicles involved in the crash Whether the crash is fatal (True/False) Fatigue Drunk_Drug Road_Type Road_Alignment Mark_Sign Safety_Facility Time of Day Region Vehicle_Type Num Vehicle Severity

Globally, numerous people died in road traffic crashes every year. For the betterment of the public at large, ways to alleviate the frequency and severity of traffic crashes have been the primary concerns of many governments. In fact, many traffic crashes can be avoided with the implementation of effective policies and regulations. 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) Whether the crash involves fatigue driving (True/False) Whether the crash involves drunk or drug driving (True/False) The type of road where the crash occurs (E.g., Highway, Freeway, etc) The alignment of the road where the crash occurs (E.g., Straight, Down-curve, Slope, Up-curve, etc) Whether there are well-equipped markings and signs at the location where the crash happens (True/False) Whether there are well-equipped road safety facilities at the location where the crash happens (True False) The time of the day when the crash happens The district where the crash occurs The type of the vehicle (Bus/Truck/Private car/Others) Number of vehicles involved in the crash Whether the crash is fatal (True/False) Fatigue Drunk_Drug Road_Type Road_Alignment Mark_Sign Safety_Facility Time of Day Region Vehicle_Type Num Vehicle Severity

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Globally, numerous people died in road traffic crashes every year. For the betterment of the public at large, ways to alleviate the frequency and severity of traffic crashes have been the primary concerns of many governments. In fact, many traffic crashes can be avoided with the implementation of effective policies and regulations. 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) Whether the crash involves fatigue driving (True/False) Whether the crash involves drunk or drug driving (True/False) The type of road where the crash occurs (E.g., Highway, Freeway, etc) The alignment of the road where the crash occurs (E.g., Straight, Down-curve, Slope, Up-curve, etc) Whether there are well-equipped markings and signs at the location where the crash happens (True/False) Whether there are well-equipped road safety facilities at the location where the crash happens (True/False) The time of the day when the crash happens The district where the crash occurs The type of the vehicle (Bus/Truck/Private car/Others) Number of vehicles involved in the crash Whether the crash is fatal (True/False) Fatigue Drunk_Drug Road_Type Road_Alignment Mark_Sign Safety_Facility Time of Day Region Vehicle_Type Num Vehicle Severity
Transcribed Image Text:Globally, numerous people died in road traffic crashes every year. For the betterment of the public at large, ways to alleviate the frequency and severity of traffic crashes have been the primary concerns of many governments. In fact, many traffic crashes can be avoided with the implementation of effective policies and regulations. 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) Whether the crash involves fatigue driving (True/False) Whether the crash involves drunk or drug driving (True/False) The type of road where the crash occurs (E.g., Highway, Freeway, etc) The alignment of the road where the crash occurs (E.g., Straight, Down-curve, Slope, Up-curve, etc) Whether there are well-equipped markings and signs at the location where the crash happens (True/False) Whether there are well-equipped road safety facilities at the location where the crash happens (True/False) The time of the day when the crash happens The district where the crash occurs The type of the vehicle (Bus/Truck/Private car/Others) Number of vehicles involved in the crash Whether the crash is fatal (True/False) Fatigue Drunk_Drug Road_Type Road_Alignment Mark_Sign Safety_Facility Time of Day Region Vehicle_Type Num Vehicle Severity
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