MoTrIS

Abstract

In this paper, we present MoTrIS, a service-oriented framework which enables spatio-temporal query processing on multimodal networks that are composed of a road network and one or more schedule-based transportation networks. MoTrIS provides a remote access API, which allows for the development of applications that require the processing of routing queries on multimodal networks. We discuss the architecture of MoTrIS and we elaborate on each of its individual components. The data input module allows for the import of data from various sources into a spatial-enabled relational database. The network module builds a multimodal network by combining a road network with one or more transportation networks. The timetable module stores and queries the schedule for each transportation mode. The query processing module enables the execution of queries over the multimodal network. The visualization module exports the results into a visualizable format. Finally, we present a web application which allows users to create, modify and test advanced spatio-temporal services, and we demonstrate all the necessary steps for a user to build such a new service.

Framework for constructing multimodal transport networks and routing using a graph database: A case study in London

“…Relational databases have been employed for the continuous utilization and management of transport network data. For example, Chondrogiannis et al (2016) presented a road and bus network designed with a timetable-based time-dependent model. Furthermore, they built a transport database using a spatial-relational database, PostGIS; however, it is necessary to expand the database to include multimodal systems.…”

“…Although their model could integrate both public and private modes, the transfer route among modes within each graph should be described in detail. Notably, both Chondrogiannis et al (2016) and Hrncir and Jakob (2013) considered the temporal context of public transit; however, such contexts within the transport system are highly volatile. Therefore, a new approach is required for immediate response to schedule changes, and efficient database updating.…”