TY - GEN
T1 - Design Science Research in Developing Traffic Urgency Model from Text for Determining Transportation Complaint Priority - An Initial Investigation
AU - Lidiawaty, Berlian Rahmy
AU - Suryani, Erma
AU - Vinarti, Retno Aulia
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Prioritizing which traffic compliance should be handled first is crucial in the development of Intelligent Transportation Systems (ITS), especially given the influx of complaints received simultaneously. To address this issue, this paper proposes a Design Science Research (DSR) approach to develop a traffic urgency model, as an artifact to guide practical steps towards determining the priority of complaint handling. The DSR methodology was developed based on the knowledge base and relevant research. It applied to a case study of an urban area in a developing country. There are five main stages in developing the DSR. First, it needs to explicate the problem, then determine the requirements, design and develop the artifact, demonstrate the artifact, and evaluate the artifact. The finding from the first stage indicates that the primary challenge in prioritizing traffic complaint texts is determining the value and level of urgency of a complaint. Therefore, this paper offers strategies and methods for developing a traffic urgency model artifact that can handle this problem. Another result of this paper presents the proposed traffic urgency model as a guideline for calculating the urgency value. The proposed model was developed after completing the stage of defining requirements. This paper also discusses that some factors such as location, person or people, situation, reported object, and time are affecting the urgency of a traffic complaint text.
AB - Prioritizing which traffic compliance should be handled first is crucial in the development of Intelligent Transportation Systems (ITS), especially given the influx of complaints received simultaneously. To address this issue, this paper proposes a Design Science Research (DSR) approach to develop a traffic urgency model, as an artifact to guide practical steps towards determining the priority of complaint handling. The DSR methodology was developed based on the knowledge base and relevant research. It applied to a case study of an urban area in a developing country. There are five main stages in developing the DSR. First, it needs to explicate the problem, then determine the requirements, design and develop the artifact, demonstrate the artifact, and evaluate the artifact. The finding from the first stage indicates that the primary challenge in prioritizing traffic complaint texts is determining the value and level of urgency of a complaint. Therefore, this paper offers strategies and methods for developing a traffic urgency model artifact that can handle this problem. Another result of this paper presents the proposed traffic urgency model as a guideline for calculating the urgency value. The proposed model was developed after completing the stage of defining requirements. This paper also discusses that some factors such as location, person or people, situation, reported object, and time are affecting the urgency of a traffic complaint text.
KW - design science research for developing model
KW - prioritizing traffic complaint text
KW - the artifact of traffic urgency model
KW - traffic urgency model
UR - http://www.scopus.com/inward/record.url?scp=85171195216&partnerID=8YFLogxK
U2 - 10.1109/ISITIA59021.2023.10221083
DO - 10.1109/ISITIA59021.2023.10221083
M3 - Conference contribution
AN - SCOPUS:85171195216
T3 - 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding
SP - 25
EP - 30
BT - 2023 International Seminar on Intelligent Technology and Its Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023
Y2 - 26 July 2023 through 27 July 2023
ER -