Yandex.Maps API: Address inside / outside MKAD, distance from MKAD

It took for the next project to make the calculation of delivery. The scheme is as follows: if the address is inside the Moscow Ring Road, then the price is fixed, if outside the Ring Road, the price is the sum of the fixed price and the cost per kilometer distance from the Ring Road.

The search for ready-made solutions yielded practically no results, except for one publication in the Yandex.Maps API club. In principle, the idea lies on the surface: we determine whether the address belongs to the area inside the Moscow Ring Road, if the address is outside the Moscow Ring Road, then we plot a route to it and count the distance. The publication comrades solve the problem "in the forehead", they manually compare the coordinates of the boundaries of the Moscow Ring Road and the address. I decided to make it more universal and use only the Yandex.Maps API.

Algorithm

1. The API does not have any standard object of the type “MKAD Region”. Therefore, we will build this area manually. We compose a two-dimensional array of coordinates (latitude and longitude) of each kilometer of the Moscow Ring Road. I also added the third element of the array, in fact, the kilometer number.
2. Based on our array, we build a polygon using YMaps.Polygon () .
3. We determine the address belonging to the polygon using polygon.contains () .
4. If the address is outside the polygon, then we define the point closest to our address using polygon.getClosestPoint () .
5. We build a route from the nearest point of the Moscow Ring Road to the address with the help of YMaps.Router () .
6. We get the length of the route through router.getDistance () .

Code

//      var mkad_km = [ [1,37.842762,55.774558], [2,37.842789,55.76522], [3,37.842627,55.755723], [4,37.841828,55.747399], [5,37.841217,55.739103], [6,37.840175,55.730482], [7,37.83916,55.721939], [8,37.837121,55.712203], [9,37.83262,55.703048], [10,37.829512,55.694287], [11,37.831353,55.68529], [12,37.834605,55.675945], [13,37.837597,55.667752], [14,37.839348,55.658667], [15,37.833842,55.650053], [16,37.824787,55.643713], [17,37.814564,55.637347], [18,37.802473,55.62913], [19,37.794235,55.623758], [20,37.781928,55.617713], [21,37.771139,55.611755], [22,37.758725,55.604956], [23,37.747945,55.599677], [24,37.734785,55.594143], [25,37.723062,55.589234], [26,37.709425,55.583983], [27,37.696256,55.578834], [28,37.683167,55.574019], [29,37.668911,55.571999], [30,37.647765,55.573093], [31,37.633419,55.573928], [32,37.616719,55.574732], [33,37.60107,55.575816], [34,37.586536,55.5778], [35,37.571938,55.581271], [36,37.555732,55.585143], [37,37.545132,55.587509], [38,37.526366,55.5922], [39,37.516108,55.594728], [40,37.502274,55.60249], [41,37.49391,55.609685], [42,37.484846,55.617424], [43,37.474668,55.625801], [44,37.469925,55.630207], [45,37.456864,55.641041], [46,37.448195,55.648794], [47,37.441125,55.654675], [48,37.434424,55.660424], [49,37.42598,55.670701], [50,37.418712,55.67994], [51,37.414868,55.686873], [52,37.407528,55.695697], [53,37.397952,55.702805], [54,37.388969,55.709657], [55,37.383283,55.718273], [56,37.378369,55.728581], [57,37.374991,55.735201], [58,37.370248,55.744789], [59,37.369188,55.75435], [60,37.369053,55.762936], [61,37.369619,55.771444], [62,37.369853,55.779722], [63,37.372943,55.789542], [64,37.379824,55.79723], [65,37.386876,55.805796], [66,37.390397,55.814629], [67,37.393236,55.823606], [68,37.395275,55.83251], [69,37.394709,55.840376], [70,37.393056,55.850141], [71,37.397314,55.858801], [72,37.405588,55.867051], [73,37.416601,55.872703], [74,37.429429,55.877041], [75,37.443596,55.881091], [76,37.459065,55.882828], [77,37.473096,55.884625], [78,37.48861,55.888897], [79,37.5016,55.894232], [80,37.513206,55.899578], [81,37.527597,55.90526], [82,37.543443,55.907687], [83,37.559577,55.909388], [84,37.575531,55.910907], [85,37.590344,55.909257], [86,37.604637,55.905472], [87,37.619603,55.901637], [88,37.635961,55.898533], [89,37.647648,55.896973], [90,37.667878,55.895449], [91,37.681721,55.894868], [92,37.698807,55.893884], [93,37.712363,55.889094], [94,37.723636,55.883555], [95,37.735791,55.877501], [96,37.741261,55.874698], [97,37.764519,55.862464], [98,37.765992,55.861979], [99,37.788216,55.850257], [100,37.788522,55.850383], [101,37.800586,55.844167], [102,37.822819,55.832707], [103,37.829754,55.828789], [104,37.837148,55.821072], [105,37.838926,55.811599], [106,37.840004,55.802781], [107,37.840965,55.793991], [108,37.841576,55.785017] ]; var addr = '  '; var map = new YMaps.Map($("#YMapsID")); var mysearchBounds = new YMaps.GeoBounds(new YMaps.GeoPoint(36.725552,56.334356), new YMaps.GeoPoint(38.604214,55.296747)); //     var geocoder = new YMaps.Geocoder(addr, {boundedBy : mysearchBounds, strictBounds : true}); YMaps.Events.observe(geocoder, geocoder.Events.Load, function (geocoder) { if (geocoder.length()) { //    var point = geocoder.get(0).getGeoPoint(); //       mkad_km var polygon = new YMaps.Polygon(); for(i = 0; i < 108; i++) { polygon.addPoint(new YMaps.GeoPoint(mkad_km[i][1],mkad_km[i][2])); } map.addOverlay(polygon); //    ,     if(polygon.contains(point)) { //    } else { //    //     var from_km = polygon.getClosestPoint(point); //      var router = new YMaps.Router([mkad_km[from_km.index][0] + ' ', addr]); //       //   YMaps.Events.observe(router, router.Events.Success, function () { var distance = Math.ceil(router.getDistance()/1000); //       }); } } else { //     } }); 

The code is an example of implementation and requires revision to more accurately calculate the distance from the Moscow Ring Road.