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GrabGarvee GargAnnouncement
No More Forgetting to Input ERP Charges - Hello Automated ERP!
Summary
Grab launched an automated Electronic Road Pricing (ERP) fare calculation feature in Singapore to eliminate the need for driver-partners to manually track gantries and enter toll charges. Because Singapore gantries frequently adjust fares based on time and road conditions, manual entry often caused driver errors and revenue loss. Grab solved this by mapping precise geographical coordinates for every toll gate using satellite imagery and open data, matching frequent driver GPS pings against road layers and gantry locations. The engineering and operations teams also built an internal ERP Workflow tool to map ride trajectories and resolve driver dispute feedback within an average of one day. Following its rollout in Singapore, Grab began testing and planning regional expansion to Indonesia, Thailand, Malaysia, and the Philippines.
Context
Drivers in Singapore previously had to manually remember passed ERP gantries, calculate dynamic time-based rates, and enter toll charges at trip completion, causing operational hassle and driver earnings loss from forgotten tolls.
Approach / What changed
Grab mapped precise gantry coordinates and toll rules across regional road networks using satellite imagery and field checks, matched frequent driver GPS pings to identify passed gantries in real time, and deployed an internal ERP Workflow debugging tool to validate driver feedback against ride trajectories.
Takeaways
Singapore's 79 active ERP gantries adjust fares an average of 10 times per day based on the time and date.
Grab's automated detection matches frequent driver GPS pings to the nearest road layer and evaluates gantry coordinates assigned with unique IDs.
The internal ERP Workflow tool allows operations staff to inspect full ride trajectories against underlying gantries, reducing toll data updates to an average turnaround of one day.
Source and freshness
- Source
- engineering.grab.com
- Published
- Added to Yomu
- Last updated
Summaries are generated from the original by a language model. Check the original before relying on it.
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