1. 首先，需要将每个地点的经纬度坐标转换为可用于计算距离和路线时间的格式。可以使用Geopy库的geocoders模块来实现：

from geopy.geocoders import Nominatim
geolocator = Nominatim(user_agent="my-application")

location = geolocator.geocode("New York City")
print(location.latitude, location.longitude)

2. 接下来，使用Google Maps API或其他地图服务的API来计算每个地点之间的路线时间。可以使用requests库向API发送请求，如下所示：

import requests

origin = "New York City"
destination = "Los Angeles"
api_key = "YOUR API KEY"

url = f"https://maps.googleapis.com/maps/api/directions/json?origin={origin}&destination={destination}&key={api_key}"

response = requests.get(url)
route_data = response.json()

travel_time = route_data["routes"][0]["legs"][0]["duration"]["text"]
print(travel_time)

3. 将所有地点的路线时间存储在列表中，并使用Python的sorted函数按照路线时间进行排序，如下所示：

geo_points = ["New York City", "Los Angeles", "Chicago", "Houston"]
api_key = "YOUR API KEY"

travel_times = {}

for i in range(len(geo_points) - 1):
    origin = geo_points[i]
    destination = geo_points[i+1]
    
    url = f"https://maps.googleapis.com/maps/api/directions/json?origin={origin}&destination={destination}&key={api_key}"
    
    response = requests.get(url)
    route_data = response.json()
    
    travel_time = route_data["routes"][0]["legs"][0]["duration"]["text"]
    travel_times[(origin, destination)] = travel_time

sorted_geo_points = [geo_points[0]]

while len(sorted_geo_points) < len(geo_points):
    last_point = sorted_geo_points[-1]
    next_point = None
    shortest_time = None
    
    for point in geo_points:
        if point not in sorted