intermodal | line utility for BitTorrent torrent file creation | Stream Processing library

HERE Maps newbie here,

I have set up an account and tried to run the example for intermodal routing (Link)

I basically copy pasted the GET request into the browser and replaced {YOUR_API_KEY} with a key that I have generated in advance({MY_API_KEY}):

I am a novice-intermediate level programmer trying to take over a project for someone who left our team with no notice. I am really hoping someone here can illuminate the way here as to what I am doing wrong. I believe it has to do with the XML structure and how it is defined.

The problem RECAPPED: I am attempting to read an XML from our logistics system's database and convert it into a C# object. I am entering the database via a Web service API that returns the XML file in question as a string. I am getting that far with no issues, however, when I deserialize the XML string to an object I am getting nothing but blank/null elements on the resulting object.

XSD File: The XML file itself is very complex, so here is a link to the XSD for this file: https://www.magaya.com/XMLSchemas/V1/Shipment.xsd.

XML String is below inside the code block. It's very large to make sure to scroll all the way to the right to copy properly.

Here is my C# code that I am using to try and deserialize it into an object. Please excuse the sloppiness, it has been rough working through this issue.

C# code that deserializes:

I am trying to assess the potential of Python to calculate the service area of two points.

The idea is to create a map showing which terminal is more efficient in serving a given cell based in distance or cost or time (different map for each).

The image shows point A and point B as terminals, I am trying to calculate the service area (or influence area) for each of the terminals.

In the example on the right the domain is homogeneous, and in the example on the left we have rail (green) and waterway (yellow). The different transportation modes will change the cost and time to market of any shipment to/from A and B. Intermodal operations are possible when any of the modes intercept i.e. green to white, white to yellow, yellow to green, etc.

By service area I mean a given cell is closer/cheaper/faster to a A or to B. Once I have this information than I´d be able to create a service area map of A and B.

My question is if python is the right tool for this. As you might notice I am not familiar with programming and would appreciate any tips (tutorials, etc).

Please feel free to ask any questions back if the problem description is not clear.

Domain of the problem:

Does intermodal routing work for Trucks? The "mode" parameter used in intermodal routing is different for the "mode" used in routing option. I don't see a parameter used specific for trucks and also could I enable traffic in intermodal routing?

Thanks for helping me with this.

I have a data frame that is structured like so, via dput:

I have some data that is collected weekly, a snippet of which is like so, via dput:

I am trying to extract name(Indian) from unstructured string.

Here come my code:

we develop an intermodal travel app which integrates Uber with the Uber REST API. I made some calls using curl to the following API services:

• api.uber.com/v1.2/products
• api.uber.com/v1.2/estimates/time
• api.uber.com/v1.2/estimates/price

All calls have response times between 1 and 1.5 seconds. I find these response times quite high. Is there a way to improve the response times of the API? Thanx & kind regards Jean-Marc

i'm a developer and i'm working on a app about smart mobility. Into smart mobility i woul like to use a intermodal routing and i have seen that open trip planner is a good open source product to work. I have see that google work in similar way but we prefer open trip planner. Now i woul like to integrate open trip planner with the data of bike sharing or car sharing of my city. So i would like to know if is possible to add car sharing data of my city and configure the open trip planner to calculate a ruote using also this data and not only transit data. Any help? Thanks