MDOT MTA Aims to Improve On-Time Performance by Empowering Bus Operators with Real-Time Information

Why It Matters

Improving OTP directly enhances rider trust and sets a data‑driven benchmark for transit agencies navigating post‑pandemic travel patterns.

Key Takeaways

• Pilot increased on‑time buses by 25%.
• Early arrivals dropped 37% with real‑time app.
• OTP target set at 80% versus industry 0‑+5 minutes.
• Operators receive daily OTP data and report cards.
• MDOT MTA plans agency‑wide rollout by summer 2026.

Pulse Analysis

The Maryland Transit Administration (MDOT MTA) has placed on‑time performance (OTP) at the core of its customer‑experience strategy, recognizing that punctual service is the first contract with riders. After the pandemic disrupted travel patterns, the agency’s OTP slipped to the mid‑60s percent and has only recently crept back into the mid‑70s, still short of its 80 % goal. Industry benchmarks typically allow a window of 0 to +5 minutes, while MDOT MTA tolerates –2 to +7 minutes, reflecting the difficulty of balancing early arrivals against long headways on less frequent routes.

To close the gap, MDOT MTA partnered with Swiftly and deployed the company’s Onboard App, which streams GPS data from drivers’ tablets to a cloud platform that instantly compares actual location with the schedule. The fifteen‑day pilot in late 2025 showed a 25 % lift in buses meeting the OTP window and a 37 % reduction in premature arrivals, outcomes directly tied to real‑time feedback for operators. Building on that success, the agency is rolling out the app systemwide by summer 2026 and introducing an OTP Report Card that breaks individual driver performance into early, on‑time and late categories.

The data‑rich approach signals a shift for U.S. transit agencies toward granular, operator‑level analytics rather than aggregate fleet metrics. By making OTP visible to drivers and pairing it with coaching from veteran operators, MDOT MTA aims to rebuild rider trust and reduce the perceived penalty of missed connections. If the rollout delivers the pilot’s gains, the model could become a template for cities grappling with post‑pandemic ridership volatility, illustrating how real‑time technology can translate into measurable service improvements and stronger public perception.