How to call Amap API through Java code to implement path planning function

How to call the Amap API through Java code to implement the path planning function

Map navigation has become one of the indispensable functions in our daily lives. In modern mobile applications, many applications have integrated route planning functions to help users easily find the optimal driving, walking or public transportation route. Amap API provides rich interfaces and functions to facilitate developers to easily implement map navigation functions. This article will introduce how to call the Amap API through Java code to implement the route planning function.

First, we need to register an AutoNavi open platform account and create an application to obtain the API Key. Then, the Java SDK of Amap Map API is introduced. The SDK provides a rich class library and methods to facilitate us to call the map API interface.

Next, we need to implement the path planning function through the API interface. Amap API provides three route planning functions: driving, walking and public transportation. We can choose the appropriate interface to call according to our needs. The calling methods of these three path planning are introduced below.

1. Driving route planning

Driving route planning can help users find the optimal driving route. The following is a Java code example for driving route planning through the Amap API:

import com.amap.api.maps.model.LatLng;
import com.amap.api.services.core.LatLonPoint;
import com.amap.api.services.route.DriveRouteResult;
import com.amap.api.services.route.RouteSearch;
import com.amap.api.services.route.RouteSearch.DriveRouteQuery;
import com.amap.api.services.route.RouteSearch.FromAndTo;
import com.amap.api.services.route.RouteSearch.OnRouteSearchListener;
import com.amap.api.services.route.RouteSearch.WalkRouteQuery;

...
// 创建路径规划查询对象
RouteSearch routeSearch = new RouteSearch(context);
// 设置路径规划查询结果回调
routeSearch.setRouteSearchListener(new OnRouteSearchListener() {
    @Override
    public void onDriveRouteSearched(DriveRouteResult result, int errorCode) {
        // 处理驾车路径规划结果
    }
    ...
});
// 设置起点和终点
FromAndTo fromAndTo = new FromAndTo(new LatLonPoint(startLat, startLng), new LatLonPoint(endLat, endLng));
// 创建驾车路径规划查询对象
DriveRouteQuery query = new DriveRouteQuery(fromAndTo, mode, null, null, "");
// 发起驾车路径规划查询
routeSearch.calculateDriveRouteAsyn(query);

In the above code, we first create a RouteSearch object to perform route planning query, and then set the route planning the starting point and the ending point. Initiate a driving route planning query by calling the calculateDriveRouteAsyn method. When the query is completed, the driving route planning results will be returned through the callback onDriveRouteSearched method. We can process the results in this method.

2. Walking path planning

Walking path planning can help users find the shortest walking route. The following is a Java code example for walking route planning through the Amap API:

import com.amap.api.maps.model.LatLng;
import com.amap.api.services.core.LatLonPoint;
import com.amap.api.services.route.RouteSearch;
import com.amap.api.services.route.RouteSearch.FromAndTo;
import com.amap.api.services.route.RouteSearch.OnRouteSearchListener;
import com.amap.api.services.route.WalkRouteResult;
import com.amap.api.services.route.WalkRouteQuery;

...
// 创建路径规划查询对象
RouteSearch routeSearch = new RouteSearch(context);
// 设置路径规划查询结果回调
routeSearch.setRouteSearchListener(new OnRouteSearchListener() {
    @Override
    public void onWalkRouteSearched(WalkRouteResult result, int errorCode) {
        // 处理步行路径规划结果
    }
    ...
});
// 设置起点和终点
FromAndTo fromAndTo = new FromAndTo(new LatLonPoint(startLat, startLng), new LatLonPoint(endLat, endLng));
// 创建步行路径规划查询对象
WalkRouteQuery query = new WalkRouteQuery(fromAndTo);
// 发起步行路径规划查询
routeSearch.calculateWalkRouteAsyn(query);

Similar to driving route planning, we set the starting point and end point and create a WalkRouteQuery object to perform route planning queries . Finally, the walking route planning query is initiated by calling the calculateWalkRouteAsyn method, and the query results will be returned through the callback onWalkRouteSearched method.

3. Bus route planning

Bus route planning can help users find the optimal bus route. The following is a Java code example for bus route planning through the Amap API:

import com.amap.api.maps.model.LatLng;
import com.amap.api.services.core.LatLonPoint;
import com.amap.api.services.route.BusRouteResult;
import com.amap.api.services.route.RouteSearch;
import com.amap.api.services.route.RouteSearch.FromAndTo;
import com.amap.api.services.route.RouteSearch.OnRouteSearchListener;
import com.amap.api.services.route.RouteSearch.BusRouteQuery;

...
// 创建路径规划查询对象
RouteSearch routeSearch = new RouteSearch(context);
// 设置路径规划查询结果回调
routeSearch.setRouteSearchListener(new OnRouteSearchListener() {
    @Override
    public void onBusRouteSearched(BusRouteResult result, int errorCode) {
        // 处理公交路径规划结果
    }
    ...
});
// 设置起点和终点
FromAndTo fromAndTo = new FromAndTo(new LatLonPoint(startLat, startLng), new LatLonPoint(endLat, endLng));
// 创建公交路径规划查询对象
BusRouteQuery query = new BusRouteQuery(fromAndTo, mode, city, 0);
// 发起公交路径规划查询
routeSearch.calculateBusRouteAsyn(query);

Similar to the first two route planning, we set the starting point and end point and create a BusRouteQuery object to perform the route Planning queries. Finally, the bus route planning query is initiated by calling the calculateBusRouteAsyn method, and the query results will be returned through the callback onBusRouteSearched method.

Summary

Through the above sample code, we can implement driving, walking and bus route planning functions by calling the Java SDK of the Amap API. Select the appropriate path planning interface as needed, set the starting point and end point, and then initiate a query. Amap API provides rich functions and flexible parameter settings to meet various route planning needs. Developers can process query results according to actual conditions to achieve more personalized and customized path planning functions.

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