{
    "success": true,
    "data": {
        "id": 2009263,
        "msgid": "target-zero-odol-by-2027-16-new-detection-tools-to-be-installed-on-toll-roads-1790689930",
        "date": "2026-09-29 19:35:46",
        "title": "Target Zero ODOL by 2027: 16 New Detection Tools to be Installed on Toll Roads",
        "author": "",
        "source": "CNBC",
        "tags": "",
        "topic": "Infrastructure",
        "summary": "The Indonesian government is intensifying efforts to achieve a 'Zero Over Dimension Over Loading' (ODOL) target by early 2027. To bolster enforcement, plans are underway to install 16 additional Weigh In Motion (WIM) detection units across major toll road networks by 2030.",
        "content": "<p>The government is pursuing a target of zero over dimension over\nloading (ODOL) by the beginning of 2027. However, this effort still\nfaces challenges as overloaded vehicles are frequently detected on toll\nroads, while subsequent law enforcement measures are deemed\nsub-optimal.<\/p>\n<p>The Head of the Toll Road Regulatory Agency (BPJT), Ni Komang\nRasminiati, stated that the government already possesses instruments to\ndetect overloaded vehicles. One such method is through Weigh In Motion\n(WIM) technology, which has been installed on several toll road sections\nand partially integrated with the Electronic Traffic Law Enforcement\n(ETLE) system.<\/p>\n<p>\u201cFrom this data, we can conclude that the detection system and\ninstruments are available and integrated. However, the future follow-up\nregarding these findings requires more consistent law enforcement\nstrengthening,\u201d said Ni Komang during a meeting with Commission V of the\nHouse of Representatives (DPR RI) on Tuesday.<\/p>\n<p>Based on data from January to August 2026, WIM detected an average of\n3,657 overloaded vehicles per day on Jasa Marga Group toll roads. This\nfigure represents 17.73% of the total 20,627 non-class I vehicles\npassing through daily.<\/p>\n<p>On Hutama Karya Group toll roads, an average of 2,041 vehicles per\nday were detected as overloaded out of 7,823 non-class I vehicles.\nConsequently, the rate of overloaded vehicles reached 26.09%.<\/p>\n<p>The issue extends beyond the high number of detected vehicles. Data\non enforcement via ETLE also reveals a significant gap between the\nnumber of detected violations and the number of tickets sent, confirmed\nviolators, and completed fine payments.<\/p>\n<p>In the Jasa Marga Group, 431,192 violating vehicles were detected\nbetween January and August 2006. However, only 16,026 tickets were sent,\nwith 2,525 violators confirmed and only 252 having completed their fine\npayments.<\/p>\n<p>Meanwhile, in the Hutama Karya Group, 287,186 violating vehicles were\ndetected. Only 1,874 tickets were sent, 422 violators were confirmed,\nand only two violators had completed their payment obligations.<\/p>\n<p>To strengthen ODOL control, the BPJT has instructed Toll Road\nBusiness Entities (BUJT) to conduct digital data collection of freight\nvehicles based on WIM data. The government is also increasing synergy\nwith the Ministry of Transportation and the National Police Traffic\nCorps (Korlantas Polri) for supervision and enforcement.<\/p>\n<p>Currently, 47 WIM units are installed, comprising 38 points before\ntoll gates and nine points on main lanes. The government still plans to\nadd 16 WIM points through 2030.<\/p>\n<p>\u201cIn the context of supporting ODOL control and the zero ODOL policy\nby early 2027, we will discuss how to accelerate the installation of\nthese supporting instruments,\u201d she added.<\/p>\n<p>The additional WIM units are planned to cover five points on the\nTrans-Sumatra highway, five points on the Trans-Java highway, three\nnon-Trans Java points, and three points in the Greater Jakarta\n(Jabodetabek) area. The government aims for a phased installation\nstarting from late September 2026 through 2030.<\/p>",
        "url": "https:\/\/jawawa.id\/newsitem\/target-zero-odol-by-2027-16-new-detection-tools-to-be-installed-on-toll-roads-1790689930",
        "image": ""
    },
    "sponsor": "Okusi Associates",
    "sponsor_url": "https:\/\/okusiassociates.com"
}