[{"command":"settings","settings":{"pluralDelimiter":"\u0003","suppressDeprecationErrors":true,"user":{"uid":0,"permissionsHash":"d9587e6f410d2e7f476e3da6cb10a457c78ab82347f962bf83d9020620f901dd"}},"merge":true},{"command":"add_css","data":[{"rel":"stylesheet","media":"all","href":"\/modules\/contrib\/addtocal\/addtocal.css?t2408i"},{"rel":"stylesheet","media":"all","href":"\/themes\/custom\/cest2025\/css\/components\/node.css?t2408i"}]},{"command":"add_js","selector":"body","data":[{"src":"\/core\/assets\/vendor\/jquery\/jquery.min.js?v=3.7.1"},{"src":"\/core\/assets\/vendor\/once\/once.min.js?v=1.0.1"},{"src":"\/core\/misc\/drupalSettingsLoader.js?v=10.5.1"},{"src":"\/core\/misc\/drupal.js?v=10.5.1"},{"src":"\/core\/misc\/drupal.init.js?v=10.5.1"},{"src":"\/modules\/contrib\/addtocal\/addtocal.js?v=10.5.1"},{"src":"\/modules\/contrib\/addtocal\/addtocal-download.js?v=10.5.1"}]},{"command":"openDialog","selector":"#drupal-modal","settings":null,"data":"\n\u003Carticle class=\u0022node node--type-presentation node--promoted node--view-mode-modal\u0022\u003E\n      \u003Cdiv\u003ESession 39 - Transportation and the environment\u003C\/div\u003E\n  \n      \u003Cb\u003E\u003Cspan\u003EDevelopment and Validation of a Representative Driving Cycle for Metro Manila: A Data-Driven Approach to Assess Vehicle Emissions and Inform Emission Reduction Strategies\u003C\/span\u003E\n\u003C\/b\u003E\n  \n      \u003Cdiv\u003E\u003Cb\u003ECEST ID: cest2025_00007\u003C\/b\u003E\u003C\/div\u003E\n  \n        \u003Cdiv class=\u0022mb-3\u0022\u003E\n      \u003Cb\u003ERoom Aegle A | Sat 6 Sep 2025 | 16:00 - 16:10 pm\u003C\/b\u003E\n    \u003C\/div\u003E\n  \n          \n    \n  \n      \u003Cdiv class=\u0022mt-10\u0022\u003E\n            \u003Cdiv class=\u0022clearfix text-formatted field field--name-presentation-body field--type-text-long field--label-hidden field__item\u0022\u003EMetro Manila\u0027s severe traffic congestion and air pollu-tion demand accurate emission assessment tools. Standard driving cycles often fail to capture unique local conditions, leading to flawed inventories. This paper details the data-driven development and valida-tion of the Metro Manila Driving Cycle (MMDC). Re-al-world vehicle data (GPS, OBD-II) were processed to construct the MMDC via micro-trip clustering and synthesis. The MMDC features significantly lower average speed (~20.3 km\/h) and higher idle time (~29%) than standard cycles (FTP-75, WLTC Class 3b). Validation against field data confirmed its representa-tiveness, with kinematic parameters and speed-acceleration probability distributions showing strong correlation. The MMDC enables more accurate vehicle emission estimations and informs targeted emission reduction strategies for Metro Manila.\u003C\/div\u003E\n      \u003C\/div\u003E\n  \n  \u003Cdiv class=\u0022mt-5 mb-5\u0022\u003E\n          \u003Cspan\u003E\n          \u003Cb\u003EPresenter:\u003C\/b\u003E\n                      \u003Cp\u003E\n            Prof Robert Michael Corpus\n            \u003C\/p\u003E\n                  \u003C\/span\u003E\n      \u003C\/div\u003E\n\n  \u003Cdiv class=\u0022mb-5\u0022\u003E\n          \u003Cdiv class=\u0022field__label\u0022\u003E\n        Authors\n      \u003C\/div\u003E\n              \u003Cp\u003E\n          Robert Michael Corpus\n        \u003C\/p\u003E\n              \u003Cp\u003E\n          J Biona\n        \u003C\/p\u003E\n            \u003C\/div\u003E\n\n\u003C\/article\u003E\n","dialogOptions":{"width":"700","position":{"my":"right top","at":"right top"},"closeOnEscape":true,"dialogClass":"presentation-dialog","modal":true,"title":"","classes":{"ui-dialog":"presentation-dialog"}}}]