Route planning on GTFS using Neo4j

GTFS (General Transit Feed Specification) is a standard of Google for public transportation schedules. The specification describes stops, routes, dates, trips, etc. of one or more public transportation company for a city or a country. Examining a GTFS feed it can be considered as a graph. In addition in the last decades new database management systems was born in order to support the big data era and/or help to write program codes. Their collective name is the NoSQL databases, which covers many types of database systems. One type of them is the graph databases, from which the Neo4j is the most widespread. In this paper I try to find the answer for the question how the Neo4j can support the usage of the GTFS. The most obvious usage of the GTFS is the route planning for which the Neo4j offers some algorithms. I built some storage structures on which the tools provided by Neo4j can be effectively used to plan routes on GTFS data

Route planning on GTFS using Neo4j

GTFS (General Transit Feed Specification) is a standard of Google for public transportation schedules. The specification describes stops, routes, dates, trips, etc. of one or more public transportation company for a city or a country. Examining a GTFS feed it can be considered as a graph. In addition in the last decades new database management systems was born in order to support the big data era and/or help to write program codes. Their collective name is the NoSQL databases, which covers many types of database systems. One type of them is the graph databases, from which the Neo4j is the most widespread. In this paper I try to find the answer for the question how the Neo4j can support the usage of the GTFS. The most obvious usage of the GTFS is the route planning for which the Neo4j offers some algorithms. I built some storage structures on which the tools provided by Neo4j can be effectively used to plan routes on GTFS data

Solving ordinary differential equation systems by approximation in a graphical way

Our aim was to find a graphic numeric solution method for higher-order differential equations and differential equation systems. To understand this method the basic mathematical knowledge taught in the secondary school must be enough, we have to complete it with geometric meaning of differential quotient and generalization of knowledge about two-dimensional vector space. We considered it important to make this method easy to algorithm. Such method and its practical experience are shown in this paper

Intelligent Route Planning System for Car Drivers in a City

Nobody likes sitting in a car which is in a trafficjam. If you are in a traffic jam, you think over the opportunitieshow you could escape from it as soon as possible.In this paper, an imaginary system is introduced whichsupports the car drivers of a city. The intelligent route plannersystem could show how you can more easily avoid the traffic jamsof the city. Moreover, it provides other actual traffic information,it plans routes based on historical and actual data, it considersthe weather and it shows where you can find free, cheap parkingplace near to your destination. Additionally, you could use amobile application to reach this information, and you couldcommand the application by your voice.Although it is an imaginary system, the knowledge and theinformation is given for such an intelligent route planning systemeven for a city in Hungary. It is waiting for implementation