ARTÍCULO
TITULO

Graph Database Schema for Multimodal Transportation in Semarang

Panji Wisnu Wirawan    
Djalal Er Riyanto    
Dinar Mutiara Kusumo Nugraheni    
Yasmin Yasmin    

Resumen

Background: Semarang has broad area that cannot be covered entirely by single transportation mode. To reach a specific location, people often use more than one public transportation mode. Apart from Bus Rapid Transit, another exist namely angkot or city transportation. Multimodal traveler information is then  required to help passenger searching for a route. Several studies of multimodal traveler information system has been conducted, however the data model for multimodal transportation did not conceived in detail.Objective: Proposes a database of multimodal transportation design using graph data model by taking Semarang as a case study.Method: We create our model in oriented entity-relationship diagram (O-ERD) and map this O-ERD to the graph database schema.Result: We develop our data model in graph database schema and we implement the model using Neo4J graph database for validation purpose. Our model consist of  three graph node label namely Shelter, Angkot Stopper, and Closer Place. To validate our model, we execute a search query using the Cypher query to look for location with closer place to it.Conclusion: Our data model was successfully developed and implemented. Searching transportation route in the implementation of our model has been conducted using cypher query. It can successfully display all possible paths and routes. Our query can distinguish between one mode of transportation with another.Keywords: Graph database, Multimodal transportation, Neo4j, Cypher

 Artículos similares

       
 
Hend Khalid Alkahtani, Khalid Mahmood, Majdi Khalid, Mahmoud Othman, Mesfer Al Duhayyim, Azza Elneil Osman, Amani A. Alneil and Abu Sarwar Zamani    
The fast development of the Internet of Things (IoT) and widespread utilization in a large number of areas, such as vehicle IoT, industrial control, healthcare, and smart homes, has made IoT security increasingly prominent. Ransomware is a type of malwar... ver más
Revista: Applied Sciences

 
Xiaochun Sun, Chenmou Wu and Shuqun Yang    
With the proliferation of Knowledge Graphs (KGs), knowledge graph completion (KGC) has attracted much attention. Previous KGC methods focus on extracting shallow structural information from KGs or in combination with external knowledge, especially in com... ver más
Revista: Applied Sciences

 
Felix Kahmann, Fabian Honecker, Julian Dreyer, Marten Fischer and Ralf Tönjes    
Since the introduction of the first cryptocurrency, Bitcoin, in 2008, the gain in popularity of distributed ledger technologies (DLTs) has led to an increasing demand and, consequently, a larger number of network participants in general. Scaling blockcha... ver más
Revista: Computers

 
Yingxue Zhang, Meng Chen, Jinbao Chen, Chuanzhi Chen, Hongzhi Yu, Yunxiao Zhang and Xiaokang Deng    
Distributed time-varying formation technology for multi-agent systems is recently become a research hotspot in formation control field. However, the formation reconfiguration control technology for agents that randomly appeared to fail during maneuvers i... ver más
Revista: Applied Sciences

 
Zhiqiong Wang, Zican Lin, Shuo Li, Yibo Wang, Weiying Zhong, Xinlei Wang and Junchang Xin    
Alzheimer?s disease (AD) is a progressive, irreversible neurodegenerative disorder that requires early diagnosis for timely treatment. Functional magnetic resonance imaging (fMRI) is a non-invasive neuroimaging technique for detecting brain activity. To ... ver más
Revista: Applied Sciences