
    Given vehicle count data from north-south and east-west traffic flows at an intersection across different time intervals, determine the N highest-volume crossing scenarios by multiplying counts from each direction. Each crossing scenario must use one count from the north-south direction and one from the east-west direction to help identify the most critical periods requiring signal timing optimization.
    

    
def large_product(nums1, nums2, N):
    """
    Given vehicle count data from north-south and east-west traffic flows at an intersection across different time intervals, determine the N highest-volume crossing scenarios by multiplying counts from each direction. Each crossing scenario must use one count from the north-south direction and one from the east-west direction to help identify the most critical periods requiring signal timing optimization.
    

    """
def large_product(nums1, nums2, N):
    """
    Given vehicle count data from north-south and east-west traffic flows at an intersection across different time intervals, determine the N highest-volume crossing scenarios by multiplying counts from each direction. Each crossing scenario must use one count from the north-south direction and one from the east-west direction to help identify the most critical periods requiring signal timing optimization.
    

    """
    result = sorted([x * y for x in nums1 for y in nums2], reverse=True)[:N]
    return result