Evaluation Of The Influence Of Traffic Lights on Traffic Comfort And Safety Users: Case Study of Cigasong Roundabout, Majalengka City
DOI:
https://doi.org/10.37253/leader.v3i1.10617Keywords:
Traffic signs, traffic congestion, Traffic light recognitionAbstract
Recognizing traffic lights is an essential technological advancement. element for automated driving in urban areas. Traffic signs are one of the essential elements in the transportation system that regulate, warn, and provide information to road users. Traffic signs are designed to improve safety, efficiency, and convenience in driving. The purpose of this investigation is to find the one lack influence of movement signs traffic comfort and safety and see the impact on motorists; traffic lights reduce accidents. This study is located at the Cigasong roundabout. The research study employs a qualitative methodology. with perception analysis. Parameters are respondents' perceptions of the level of importance and satisfaction with traffic light signs on the road, using a scale of 1 to 5 from not crucial to important and dissatisfied to satisfied. The data was processed using the Importance Performance Analysis (IPA) method. The data collected from 25 respondents were divided by age, gender, and the vehicle used when crossing the Cigasong roundabout. From the questionnaire results, the majority of the age range that has passed through the Cigasong roundabout is less than 20 years and 21 to 30 years, and the least frequent passing through the Cigasong roundabout is age 41 to 50. While the majority of the gender that has passed through the Cigasong roundabout is male. Most road users who have passed through the Cigasong roundabout use motorbikes, and the least frequently use cars.
References
Albalate, D., & Fageda, X. (2019). Congestion, road safety, and the effectiveness of public policies in urban areas. Sustainability, 11(18),, 5092.
Albatish, I. M., & Abu-Naser, S. S. (2019). Modelling and controlling innovative traffic light systems using a rule-based system. In 2019 International Conference on Promising Electronic Technologies (ICPET), 55-60.
Aleko, D. R., & Djahel, S. (2020). An efficient adaptive traffic light control system for reducing urban traffic congestion in smart cities. Information, 11(2),, 119.
Damadam, S., Zourbakhsh, M., Javidan, R., & & Faroughi, A. (2022). An intelligent IoT-based traffic light management system: deep reinforcement learning. Smart Cities, 5(4), 1293-1311.
De Oliveira, L. F., Manera, L. T., & & Da Luz, P. D. (2020). Development of an intelligent traffic light control system with real-time monitoring. IEEE Internet of Things Journal, 8(5), 3384-3393.
Dwiani, N., Rifai, A. I., Taufik, M., & Handayani, S. (2024). The Road User Perception of Municipal Road Deterioration: A Case Majalengka West Java. Journal Research of Social Science, Economics & Management,4, 2.
Ellappan, V., Sindhusaranya, B., & & Hailu, T. (2019). Multi Intelligent Traffic Light Optimization techniques by applying a Modified Component Analysis Algorithm. In 2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), 316-318.
Firmansyah, F., Rifai, A. I., & Taufik, M. (2022). The Performance of Roundabouts with Traffic Signals: A Case Kadipaten Intersection, Indonesia A Case Kadipaten Intersection, Indonesia. Jurnal Ilmiah Multidisiplin Indonesia, 2,, 823-832.
Gandhi, M. M., Solanki, D. S., Daptardar, R. S., & Baloorkar, N. S. (2020). Intelligent control of traffic lights using artificial intelligence. In 2020 5th IEEE international conference on recent advances and innovations in engineering (ICRAIE), (pp. 1–6). IEEE.
Hu, L., Ou, J., Huang, J., Chen, Y., & Cao, D. (2020). A review of research on traffic conflicts based on intelligent vehicles. Ieee Access, 8, 24471-24483.
Hussain, Q., Alhajyaseen, W. K., Brijs, K., Pirdavani, A., & Brijs, T. (2020). Innovative countermeasures for red light running prevention at signalized intersections: A driving simulator study. Accident Analysis & Prevention, 134, 105349.
Isradi, M., Nareswari, N. D., Rifai, A. I., & Prasetijo, J. (2021). Performance Analysis of Road Section and Unsignalized Intersections in Order to Prevent Traffic Jams on Jl H. Djole–Jl. Pasar Lama. International Journal of Civil Engineering, 6(1), 56-67.
Kee, L. K., & Bashi, Z. S. (2021). Smart traffic light monitoring system for emergency using Arduino. Multidisciplinary Applied Research and Innovation, 2(3), 015-020.
Kharisma, G., Rifai, A. I., Taufik, M., & Prasetijo, J. (2024). The Analysis Of Deterioration Of Village Road: A Case Of Palasah-Majalengka. Jurnal Ekonomi Teknologi dan Bisnis (JETBIS), 3(10),, 1750-1757.
Kumar, M., Kumar, K., & Das, P. (2021). Study on road traffic congestion: A review. Recent Trends in Communication and Electronics, 230-240.
Kumar, N., Rahman, S. S., & Dhakad, N. (2020). Fuzzy inference enabled deep reinforcement learning-based traffic light control for intelligent transportation system. IEEE Transactions on Intelligent Transportation Systems, 22(8), 4919-4928.
Lee, W. H., & Chiu, C. Y. (2020). Design and implementation of a smart traffic signal control system for smart city applications. Sensors, 20(2), 508.
Liu, C., & Ke, L. (2023). Cloud-assisted Internet of Things intelligent transportation system and the traffic control system in the smart city. Journal of Control and Decision, 10(2), 174-187.
Meng, B. C., Damanhuri, N. S., & Othman, N. A. (2021). Smart traffic light control system using image processing. In IOP Conference Series: Materials Science and Engineering, 012021.
Nurhasanah, R., Rifai, A. I., Taufik, M., & Isradi, M. (2024). The Perception of User for Road Damage: A Case Majalengka-West Java. American Journal of Open Research, 3(10), 258-267.
Palša, J., Vokorokos, L., Chovancová, E., & Chovanec, M. (2019). Smart cities and the importance of smart traffic lights. In 2019 17th International Conference on Emerging eLearning Technologies and Applications (ICETA), 587-592.
Purnama, E., Rifai, A. I., & Nasrun, N. (2022). Analysis of Road Performance Used Indonesian Highway Capacity Manual 1997: A Case Jalan KH Abdul Halim Majalengka-Indonesia. Citizen: Jurnal Ilmiah Multidisiplin Indonesia, 2,, 888-895.
Reta, R. T., Rifai, A. I., Taufik, M., & Prasetijo, J. (2024). Analysis of Road Sight Distance and Support Facility: A Case of Jalan Babakan Anyar–Majalengka. Jurnal Syntax Transformation, 5(8),, 1048-1057.
Rifai, A. I., & Aulia, E. S. (2019). Analysis of Factors Causing Traffic Accidents on Sultan Agung Street, Bekasi. Neutron, 18(2), 1-9.
Sahputra, D., Rastami, M. I., Damanik, D., & Ivanna, J. (2023). Implementing Medan City Government Policies in Overcoming Traffic Congestion and Density (Case Study of Traffic Intersection, Medan Tembung District). Journal of Community Service For Indonesian Society, 1(2), 56-58.
Sathiyaraj, R., & Bharathi, A. (2020). An efficient, intelligent traffic light control and deviation system for traffic congestion avoidance using a multi-agent system. Transport, 35(3), 327–335.
Sumantri, V. N., Rifai, A. I., & Ferial, F. (2022). Impact of inter-urban street lighting on users perception of road safety behaviour: A Case of Jalan Majalengka-Rajagaluh. Jurnal Ilmiah Multidisiplin Indonesia, 2, , 703-711.
Wincent, W., Rifai, A. I., & Isradi, M. (2022). The Road Performance Analysis in Jalan Ahmad Yani Batam Using IHCM 1997. Indonesian Journal of Multidisciplinary Science, 1(1), 103-116.
Yoneda, K., Kuramoto, A., Suganuma, N., Asaka, T., Aldibaja, M., & Yanase, R. (2020). Robust traffic light and arrow detection using digital maps with spatial prior information for automated driving. Sensors, 20(4),, 1181.
Zeng, P., Wang, X., Li, H., Jiang, F., & Doss, R. (2020). A scheme of intelligent traffic light systems based on the distributed security architecture of blockchain technology. IEEE Access, 8, 33644-33657.
.png){kind=small}
