Internet GIS-Based Multimodal Public Transport Trip Planning Information System for Travelers in Lithuania

Jakimavičius Jakimavičius,Karpavičius Karpavičius,Antuchevičiene Antuchevičiene,Palevičius Palevičius

doi:10.3390/ijgi8080319

Jakimavičius Jakimavičius, Karpavičius Karpavičius + Show 2 more

Open Access

https://doi.org/10.3390/ijgi8080319

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Abstract

The main purpose of this research is to present the developed VINTRA system, a comprehensive solution to a fully developed public transit system in Lithuania, and it is very important in encouraging travelers to use public transport. VINTRA is not simply a trip planner; it is capable of planning multimodal public transport trips, using different parameters in public transport trip planning. This system has the functionality to create and edit public transport route trajectories and to edit and calculate timetables according to the distance between stops. This research presents the public transport trip planning parameters procedure of the calculated walking route directions, integrated with the calculation results of public transit routes, as well as combining visualization in digital maps. This paper also discusses how route-planning systems could perform data exchange based on General Transit Feed Specification and how assessment of the public transport trip planning results, compared to the VINTRA system created with Google, was performed.

Highlights

Over the years, there have been major changes in transportation concerning the introduction of Intelligent Transportation Systems (ITS)
Travelers search for the optimal public transport route, and their decisions are influenced by personal attributes, responses to the supplied information, and situational factors such as time of day, selected mode of transport, trip purpose, traffic conditions, maximum walking distance, and maximum number of transfers [7,8,9]
The public transport trip planner works with transport data, which is stored according to the TRANSMODEL specifications and data model

Summary

Introduction

There have been major changes in transportation concerning the introduction of Intelligent Transportation Systems (ITS). The data is processed for running the route, OD paths are pre-calculated and stored in the database [17], developed another model which supported the P+R mode of travel for public transportation. In this model, the algorithm search space is reduced by restricting the expansion of the search by a minimum bounding box that is applied to the geographical coordinates of the origin and destination pair. This was designed for the search and planning of routes using multimodal public transportation. This graph is used to calculate public transport trips from one public transport stop to another

Data Model of the VINTRA Trip Planner

Discussion

Findings

Conclusions