使用 Google Maps API 确定从中心点开始的驾驶时间区域

Question

有没有办法通过 Google Maps API 确定给定中心点的给定驾驶时间内的边界多边形？

如果做不到这一点，有没有一种方法可以计算驾驶时间函数的倒数——也就是说，不是“从 A 点到 B 点需要多少分钟”，而是问“我要走多远”在一定的分钟内从A点到达B点？”当然，我可以只找到点之间的时间并假设天真的缩放，但如果速度限制在路线的重要部分上变化很大，那么这可能会很遥远。

Answer 1

您正在寻找等时线图

Marcelo 的原始驾驶半径演示原始链接现已失效。
Marcelo 的驾驶半径演示移植到 v3

注意：由于 Google 的政策更改，这些示例不再有效（

You have exceeded your request quota for this API.

错误），请将 API 密钥替换为有效的密钥即可工作）

代码片段：

var map;
var container;
var zoom = 9;
var centerPoint = new google.maps.LatLng(35.149534, -90.04898);
var dirService = new google.maps.DirectionsService();
var centerMarker;
var circleMarkers = Array();
var circlePoints = Array();
var drivePolyPoints = Array();
var searchPolygon, drivePolygon;
var distToDrive = 30; // miles
var pointInterval = 30;
var searchPoints = [];
var polyline;
var polylines = [];
var redIcon8 = "https://maps.gstatic.com/intl/en_us/mapfiles/markers2/measle.png";

function initialize() {
  map = new google.maps.Map(
    document.getElementById("map_canvas"), {
      center: centerPoint,
      zoom: 9,
      mapTypeId: google.maps.MapTypeId.ROADMAP
    });
  google.maps.event.addListener(map, "click", mapClick);
}
google.maps.event.addDomListener(window, "load", initialize);

function mapClick(evt) {
  // map.clearOverlays();
  circleMarkers = Array();
  if (!centerMarker) {
    centerMarker = new google.maps.Marker({
      position: evt.latLng,
      map: map
    });
  } else {
    centerMarker.setMap(null);
    centerMarker.setPosition(evt.latLng);
  }
  centerMarker.setMap(map);
  searchPoints = getCirclePoints(evt.latLng, distToDrive);
  drivePolyPoints = Array();
  getDirections();
}

function getCirclePoints(center, radius) {
  var bounds = new google.maps.LatLngBounds();
  var circlePoints = Array();
  var searchPoints = Array();
  with(Math) {
    var rLat = (radius / 3963.189) * (180 / PI); // miles
    var rLng = rLat / cos(center.lat() * (PI / 180));
    for (var a = 0; a < 361; a++) {
      var aRad = a * (PI / 180);
      var x = center.lng() + (rLng * cos(aRad));
      var y = center.lat() + (rLat * sin(aRad));
      var point = new google.maps.LatLng(parseFloat(y), parseFloat(x), true);
      bounds.extend(point);
      circlePoints.push(point);
      if (a % pointInterval == 0) {
        searchPoints.push(point);
      }
    }
  }
  searchPolygon = new google.maps.Polygon({
    paths: circlePoints,
    strokeColor: '#0000ff',
    strokeWeight: 1,
    strokeOpacity: 1,
    fillColor: '#0000ff',
    fillOpacity: 0.2
  });
  searchPolygon.setMap(map);
  map.fitBounds(bounds);
  return searchPoints;
}

function getDirections() {
  if (!searchPoints.length) {
    return;
  }
  var to = searchPoints.shift();
  var request = {
    origin: centerMarker.getPosition(),
    destination: to,
    travelMode: google.maps.TravelMode.DRIVING
  };
  dirService.route(request, function(result, status) {
    if (status == google.maps.DirectionsStatus.OK) {
      var distance = parseInt(result.routes[0].legs[0].distance.value / 1609);
      var duration = parseFloat(result.routes[0].legs[0].duration.value / 3600).toFixed(2);
      var path = result.routes[0].overview_path;
      var legs = result.routes[0].legs;
      if (polyline && polyline.setPath) {
        polyline.setPath([]);
      } else {
        polyline = new google.maps.Polyline({
          path: [],
          // map: map,
          strokeColor: "#FF0000",
          strokeOpacity: 1
        });
      }
      for (i = 0; i < legs.length; i++) {
        var steps = legs[i].steps;
        for (j = 0; j < steps.length; j++) {
          var nextSegment = steps[j].path;
          for (k = 0; k < nextSegment.length; k++) {
            polyline.getPath().push(nextSegment[k]);
            // bounds.extend(nextSegment[k]);
          }
        }
      }
      // polyline.setMap(map);
      shortenAndShow(polyline);
      getDirections();
    } else {
      console.log("Directions request failed, status=" + status + " [from:" + request.origin + " to:" + request.destination + "]");
      getDirections();
    }
  });
}

function shortenAndShow(polyline) {
  var distToDriveM = distToDrive * 1609;
  var dist = 0;
  var cutoffIndex = 0;
  var copyPoints = Array();
  for (var n = 0; n < polyline.getPath().getLength() - 1; n++) {
    dist += google.maps.geometry.spherical.computeDistanceBetween(polyline.getPath().getAt(n), polyline.getPath().getAt(n + 1));
    //GLog.write(dist + ' - ' + distToDriveM);
    if (dist < distToDriveM) {
      copyPoints.push(polyline.getPath().getAt(n));
    } else {
      break;
    }
  }
  var lastPoint = copyPoints[copyPoints.length - 1];
  var newLine = new google.maps.Polyline({
    path: copyPoints,
    strokeColor: '#ff0000',
    strokeWeight: 2,
    strokeOpacity: 1
  });
  newLine.setMap(map);
  polylines.push(newLine);
  drivePolyPoints.push(lastPoint);
  addBorderMarker(lastPoint, dist)
  if (drivePolyPoints.length > 3) {
    if (drivePolygon) {
      drivePolygon.setMap(null);
    }
    drivePolygon = new google.maps.Polygon({
      paths: drivePolyPoints,
      strokeColor: '#00ff00',
      strokeWeight: 1,
      strokeOpacity: 1,
      fillColor: '#00ff00',
      fillOpacity: 0.4
    });
    drivePolygon.setMap(map);
  }
}

function addBorderMarker(pt, d) {
  var str = pt.lat().toFixed(6) + ',' + pt.lng().toFixed(6) + ' - Driving Distance: ' + (d / 1609).toFixed(2) + ' miles';
  var marker = new google.maps.Marker({
    position: pt,
    icon: redIcon8,
    title: str
  });
  circleMarkers.push(marker);
  marker.setMap(map);
}

function clearOverlays() {
  for (var i = 0; i < circleMarkers.length; i++) {
    circleMarkers[i].setMap(null);
  }
  circleMarkers = [];
  for (var i = 0; i < circlePoints.length; i++) {
    circlePoints[i].setMap(null);
  }
  circlePoints = [];
  for (var i = 0; i < polylines.length; i++) {
    polylines[i].setMap(null);
  }
  polylines = [];
  if (searchPolygon && searchPolygon.setMap) searchPolygon.setMap(null);
  if (drivePolygon && drivePolygon.setMap) drivePolygon.setMap(null);
  if (centerMarker && centerMarker.setMap) centerMarker.setMap(null);
}

html,
body,
#map_canvas {
  height: 100%;
  width: 100%;
  margin: 0px;
  padding: 0px
}

<a href="#" onclick="clearOverlays();">Clear</a>&nbsp;|&nbsp;
<a href="#" onclick="pointInterval=30;clearOverlays();">interval 30 (default)</a>&nbsp;|&nbsp;
<a href="#" onclick="pointInterval=20;clearOverlays();">interval 20</a>&nbsp;|&nbsp;

<script src="https://maps.googleapis.com/maps/api/js?libraries=geometry&key=AIzaSyCkUOdZ5y7hMm0yrcCQoCvLwzdM6M8s5qk"></script>
<div id="map_canvas"></div>

Answer 2

我已经使用 OpenRouteService 在 React 应用程序中成功实现了基于时间和基于距离的等时线。

该服务适用于计算汽车、公共交通、步行等不同出行方式的出行时间和距离。它为您提到的其他服务提供了强大且经济高效的替代方案。

这里是开放路线的链接：

https://openrouteservice.org

通过利用OpenRouteService，您可以准确确定从给定位置到指定行程时间或距离内可到达的区域。这种方法应该可以满足您有效创建旅行时间等时线的需求。

这是我网站上的等时线图像。

来自我网站的等时线图像

使用 Google Maps API 确定从中心点开始的驾驶时间区域

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