H. S. Chuo, M. K. Tan, Kit Guan Lim, L. Angeline, Tienlei Wang, K. Teo
{"title":"Local Traffic Network Formulation and Signalisation via Benchmark Webster Model","authors":"H. S. Chuo, M. K. Tan, Kit Guan Lim, L. Angeline, Tienlei Wang, K. Teo","doi":"10.1109/IICAIET55139.2022.9936766","DOIUrl":null,"url":null,"abstract":"Traffic models have been widely studied for general traffic understanding and transportation variable relations, but unreadily exert for real time transportation decision and planning. With the present advancement in computer technology, the used-to-be-lengthy and complicated modelling technique is now more computable and executable than ever for putting into good use. This paper discusses extensively on the formulation of local traffic network in Kota Kinabalu, Malaysia and the signal settings as referred to the Jabatan Kerja Raya (JKR) using benchmark Webster Model. This paper is crucial for bridging the current traffic network modelling towards advanced modelling techniques and transportation network optimisation strategies to be incorporated in intelligent transportation systems. The traffic responses and results from the Webster model simulation and signalization were reported in this paper as a realistic reference under different case studies including normal traffic and congested traffic scenarios, besides when traffic delays occurred.","PeriodicalId":142482,"journal":{"name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICAIET55139.2022.9936766","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Traffic models have been widely studied for general traffic understanding and transportation variable relations, but unreadily exert for real time transportation decision and planning. With the present advancement in computer technology, the used-to-be-lengthy and complicated modelling technique is now more computable and executable than ever for putting into good use. This paper discusses extensively on the formulation of local traffic network in Kota Kinabalu, Malaysia and the signal settings as referred to the Jabatan Kerja Raya (JKR) using benchmark Webster Model. This paper is crucial for bridging the current traffic network modelling towards advanced modelling techniques and transportation network optimisation strategies to be incorporated in intelligent transportation systems. The traffic responses and results from the Webster model simulation and signalization were reported in this paper as a realistic reference under different case studies including normal traffic and congested traffic scenarios, besides when traffic delays occurred.
交通模型已被广泛研究用于一般的交通理解和交通变量关系,但难以用于实时的交通决策和规划。随着计算机技术的进步,过去冗长复杂的建模技术现在比以往任何时候都更易于计算和执行,从而更好地发挥作用。本文广泛讨论了马来西亚哥打京那巴鲁当地交通网络的制定和参考贾巴坦Kerja Raya (JKR)的信号设置。本文对于将当前的交通网络建模与先进的建模技术和交通网络优化策略结合到智能交通系统中至关重要。本文报告了韦伯斯特模型仿真和信号化的交通响应和结果,作为现实参考,在不同的案例研究中,包括正常交通和拥堵交通场景,以及发生交通延误的情况。