Newtonsoft JSON deserializing array with differing object types

I'm trying to deserialize different object types inside a json array in the most efficient way possible but I can't really see how this can be done in any sort of straightforward way. I'm using the Newtonsoft.Json library for parsing.

I have set up a simple example to illustrate the problem I'm trying to solve, the classes I wish to bind to and the JSON format I'm working with is defined below:

class Car
{
    public int Wheels { get; set; }
    public String Manufacturer { get; set; }
    public String Colour { get; set; }
    public double EngineSize { get; set; }
    public String Year { get; set; }
}

class Aeroplane
{
    public String Model { get; set; }
    public String Airline { get; set; }
    public int JourneyCount { get; set; }
}

class Ship
{
    public String Name { get; set; }
    public String Company { get; set; }
    public int Capacity { get; set; }
    public String YearBuilt { get; set; }
}

And here's the JSON I'm trying to bind to these classes. It's set up as an array with three different nested object types at each position. Basically each element/index in the array contains three objects, namely a car, aeroplane and ship.

{[
  {
    "car": {
      "wheels": 4,
      "manufacturer": BMW,
      "colour": "Black",
      "engineSize": "1.6"
    },
    "aeroplane": null,
    "ship": null
  },
  {
    "car": {
      "wheels": 4,
      "manufacturer": BMW,
      "colour": "Black",
      "engineSize": "1.6"
    },
    "aeroplane": {
        "model": "Dreamliner",
        "airline": "Emirates",
        "journeyCount": 4798
    },
    "ship": {
        "name":"Queen Mary",
        "company":"Cunard",
        "capacity": 890,
        "yearBuilt": 2000
    }
  },
  {
    "car": {
      "wheels": 4,
      "manufacturer": BMW,
      "colour": "Black",
      "engineSize": "1.6"
    },
    "aeroplane": {
        "model": "Boeing 777",
        "airline": "BA",
        "journeyCount": 6158
    },
    "ship": {
        "name":"HMS Diamond",
        "company":"Royal Navy",
        "capacity": 500,
        "yearBuilt": 2010
    }
  }
]}