Open Access Open Access  Restricted Access Subscription or Fee Access

Intelligent Traffic Monitoring System as Part of Realizing Smart City-A Case Study: Traffic Engineering in Northern Jakarta’s Mixed-Use Area

(*) Corresponding author

Authors' affiliations



Congestion is a source of waste of energy, time, and money. Uncontrolled congestion can trigger chaos in all the aspects of the environment. Therefore, this study seeks to find an IT-based solution in order to improve traffic efficiency and safety. This study used the Project Life Cycle with an Agile Approach to develop an Intelligent Traffic Monitoring System that is effective for preventing and controlling congestions. The software used has included vehicle classification and counting unit, license plate tracking, and illegal parking enforcement. The test area spans around 9 km in the northern region of Jakarta. The results have showed that the system has been capable of monitoring and engineering the traffic. Future studies need to utilize a more precise camera and extensive vehicle database, to consider the risks of the elements to the hardware, and to expand the test area.
Copyright © 2020 Praise Worthy Prize - All rights reserved.


Traffic Monitoring System; Traffic Engineering; Intelligent Systems; Project Management Life Cycle; Agile Approach

Full Text:



R. Mahesa, G. Yudoko, and Y. Anggoro, Platform Ecosystems for Indonesia Smart Cities, in 2018 International Conference on Computer, Control, Informatics and its Applications: Recent Challenges in Machine Learning for Computing Applications, IC3INA 2018 - Proceeding, 2019, pp. 34–39.

R. Mahesa, G. Yudoko, and Y. Anggoro, Dataset on the sustainable smart city development in Indonesia, Data Br., vol. 25, pp. 1–16, 2019.

Krasniqi, R., Doci, I., Shala, A., Berisha, R., Regulation of Traffic Flow in Small Cities with High Number of Vehicles: Case of Malisheva City – Kosovo, (2018) International Review of Civil Engineering (IRECE), 9 (4), pp. 161-167.

Naumova, N., Naumov, R., Method of Solving Some Optimization Problems for Dynamic Traffic Flow Distribution, (2018) International Review on Modelling and Simulations (IREMOS), 11 (4), pp. 245-251.

Mabrouk, A., Senhadji, M., Walid, A., Kobbane, A., EL Koutbi, M., Gateways’ Mobility Increases the Capacity of Communication in VANETs: Routing Algorithm Based on Congestion Game, (2014) International Review on Computers and Software (IRECOS), 9 (8), pp. 1417-1425.

A. Aldegheishem, H. Yasmeen, H. Maryam, M. A. Shah, A. Mehmood, N. Alrajeh, and H. Song, Smart Road Traffic Accidents Reduction Strategy Based on Intelligent Transportation Systems (TARS), Sensors, vol. 18, no. 7, pp. 1–23, 2018.

H. K. An, W. L. Yue, and B. Stazic, Estimation of vehicle queuing lengths at metering roundabouts, J. Traffic Transp. Eng. (English Ed.), vol. 4, no. 6, pp. 545–554, 2017.

S. Latif, H. Afzaal, and N. A. Zafar, Intelligent Traffic Monitoring and Guidance System for Smart City, in International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), 2018, pp. 1–6.

M. Gohar, M. Muzammal, and A. U. Rahman, SMART TSS: Defining Transportation System Behavior Using Big Data Analytics in Smart Cities, Sustain. Cities Soc., vol. 41, pp. 114–119, 2018.

A. D. Abed, Planning and Design of Highways According to AASHTO Standards Using Remote Sensing Technology (Samarra City as a Case Study), in ICOASE 2018 - International Conference on Advanced Science and Engineering, 2018.

Sudarsana, D., Sanjaya, P., Development of Delay Claim with a Traffic Volume Approach of the Road National Improvement Project, (2019) International Review of Civil Engineering (IRECE), 10 (3), pp. 142-147.

J. Guerrero-Ibáñez, S. Zeadally, and J. Contreras-Castillo, Sensor technologies for intelligent transportation systems, Sensors (Switzerland), vol. 18, no. 4, pp. 1–24, 2018.

A. Sieben, J. Schumann, and A. Seyfried, Collective phenomena in crowds-Where pedestrian dynamics need social psychology, PLoS One, vol. 12, no. 6, pp. 1–19, 2017.

J. Jin, X. Ma, and I. Kosonen, A stochastic optimization framework for road traffic controls based on evolutionary algorithms and traffic simulation, Adv. Eng. Softw., vol. 114, pp. 348–360, 2017.

H. Alahyari, R. Berntsson, and T. Gorschek, The Journal of Systems and Software A study of value in agile software development organizations, J. Syst. Softw., vol. 125, pp. 271–288, 2017.

M. L. Marsal-Llacuna, City Indicators on Social Sustainability as Standardization Technologies for Smarter (Citizen-Centered) Governance of Cities, Soc. Indic. Res., vol. 128, no. 3, pp. 1193–1216, 2016.

K. Alfes, A. D. Shantz, C. Bailey, E. Conway, K. Monks, and N. Fu, Perceived human resource system strength and employee reactions toward change: Revisiting human resource’s remit as change agent, Hum. Resour. Manag., vol. 58, no. 3, pp. 239–252, 2019.

L. S. Putranto, Traffic Engineering. Jakarta: Indeks, 2016.

T. Mathew, Traffic stream models, in Transportation systems engineering: Cell transmission models, Bombay., IIT Bombay, 2014.

P. M. Kumar, U. D. G, G. Manogaran, R. Sundarasekar, N. Chilamkurti, and R. Varatharajan, Ant colony optimization algorithm with Internet of Vehicles for Intelligent Traffic Control System, Comput. Networks, vol. 144, pp. 154–162, 2018.

C. B. Rafter, B. Anvari, and S. Box, A hybrid traffic responsive intersection control algorithm using global positioning system and inductive loop data, in Proceedings of The Transportation Research Board 97th Annual Meeting, 2018, pp. 1–19.


  • There are currently no refbacks.

Please send any question about this web site to
Copyright © 2005-2023 Praise Worthy Prize