Live · The Road to Autonomy Indices
NeolixCN 82.8 ▲ +9.3 Baidu Apollo GoCN 81.7 ▲ +0.4 WaymoUS 79.5 ▲ +1.0 Starship TechnologiesEE 69.0 ▼ -3.3 Serve RoboticsUS 66.3 ▲ +7.8 Pony.aiCN 60.0 ▲ +3.2 WeRideCN 56.3 ▲ +3.1 KodiakUS 49.1 ▲ +1.8 CocoUS 48.9 ▲ +7.4 Applied IntuitionUS 48.7 ▲ +1.0 AuroraUS 46.3 ▲ +5.0 TeslaUS 40.7 ▲ +0.3 DeepRoute.aiCN 38.3 ▼ -3.2 Bot AutoUS 38.0 ▲ +2.5 ZooxUS 36.0 ▲ +1.6 Volvo Autonomous SolutionsSE 33.6 ▲ +0.7 MeituanCN 32.8 ▲ +3.4 MotionalUS 31.7 ▼ -0.3 May MobilityUS 31.3 ▼ -0.8 DoorDash DotUS 30.1 ▲ +5.6 Didi Autonomous DrivingCN 29.2 ▲ +2.3 MobileyeIL 28.3 ▼ -0.9 MomentaCN 28.0 ▲ +3.4 TorcUS 27.1 ▼ -2.5 WayveGB 26.2 ▲ +0.9 AvrideUS 25.6 ▲ +0.1 Cao Cao MobilityCN 25.5 ▼ -2.4 XPengCN 23.7 ▲ +1.1 MOIA AmericaDE 22.8 – 0.0 VerneHR 22.6 ▼ -0.7 WaabiCA 22.0 ▲ +1.9 AutobrainsIL 21.8 ▲ +0.2 Avride PodUS 20.9 ▼ -2.4 NuroUS 20.6 ▲ +0.8 Helm.aiUS 18.0 ▲ +0.5 Tensor AutoUS 17.8 ▼ -0.4 Stack AVUS 16.3 ▼ -1.5 PlusAIUS 14.7 ▲ +2.0 HUMAINSA 2.1 – 0.0 NeolixCN 82.8 ▲ +9.3 Baidu Apollo GoCN 81.7 ▲ +0.4 WaymoUS 79.5 ▲ +1.0 Starship TechnologiesEE 69.0 ▼ -3.3 Serve RoboticsUS 66.3 ▲ +7.8 Pony.aiCN 60.0 ▲ +3.2 WeRideCN 56.3 ▲ +3.1 KodiakUS 49.1 ▲ +1.8 CocoUS 48.9 ▲ +7.4 Applied IntuitionUS 48.7 ▲ +1.0 AuroraUS 46.3 ▲ +5.0 TeslaUS 40.7 ▲ +0.3 DeepRoute.aiCN 38.3 ▼ -3.2 Bot AutoUS 38.0 ▲ +2.5 ZooxUS 36.0 ▲ +1.6 Volvo Autonomous SolutionsSE 33.6 ▲ +0.7 MeituanCN 32.8 ▲ +3.4 MotionalUS 31.7 ▼ -0.3 May MobilityUS 31.3 ▼ -0.8 DoorDash DotUS 30.1 ▲ +5.6 Didi Autonomous DrivingCN 29.2 ▲ +2.3 MobileyeIL 28.3 ▼ -0.9 MomentaCN 28.0 ▲ +3.4 TorcUS 27.1 ▼ -2.5 WayveGB 26.2 ▲ +0.9 AvrideUS 25.6 ▲ +0.1 Cao Cao MobilityCN 25.5 ▼ -2.4 XPengCN 23.7 ▲ +1.1 MOIA AmericaDE 22.8 – 0.0 VerneHR 22.6 ▼ -0.7 WaabiCA 22.0 ▲ +1.9 AutobrainsIL 21.8 ▲ +0.2 Avride PodUS 20.9 ▼ -2.4 NuroUS 20.6 ▲ +0.8 Helm.aiUS 18.0 ▲ +0.5 Tensor AutoUS 17.8 ▼ -0.4 Stack AVUS 16.3 ▼ -1.5 PlusAIUS 14.7 ▲ +2.0 HUMAINSA 2.1 – 0.0
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The Road to Autonomy Robotaxi Index / Didi Autonomous Driving

Didi Autonomous Driving CN

PRIVATE·Didi Global

Composite Score 29.2/100 ▲ +2.3 7-Day Δ
Rank #9
Category Robotaxi
30-Day Δ
Cadence 12-Hour
Methodology v 1.3
Last Updated 18:25 UTC · 2026-06-28

Composite Weighting

Six factors, each scored 0 to 100 under The Road to Autonomy Robotaxi Index methodology.

  1. 01

    Operations

    How autonomously the platform operates today: driver-out commercial cities, SAE level, operational design domain (ODD) breadth, maximum operating speed, and sustained highway operations with passengers.

    14/100 ▼ -0.1
  2. 02

    Scale

    Operating volume across paid passenger rides per week, cumulative autonomous miles, active fleet size, and live commercial cities.

    34/100 ▲ +9.5
  3. 03

    Revenue

    Disclosed robotaxi-specific revenue in USD, taken directly from the operator or segment-implied from quarterly financials. SEC filings anchor public operators. Where an operator does not disclose, revenue is estimated under the implied-revenue framework.

    22/100 ▲ +4.5
  4. 04

    Commercial

    Partnerships with major ride-hail dispatch networks, depots and charging infrastructure, OEM supply agreements, and regulatory permits in each operating jurisdiction.

    30/100 ▲ +0.1
  5. 05

    Manufacturing

    Purpose-built robotaxi designed without driving controls, retrofitted production vehicle under an OEM supply agreement, or pure software stack on third-party hardware.

    60/100 ▲ +7.3
  6. 06

    Safety

    Marks earned for transparent safety reporting and independent validation, reduced for recall density relative to fleet, open investigations, and regulator action graded by duration and severity.

    47/100 ▲ +4.7

Composite History

Didi Autonomous Driving's composite score across every 12-hour snapshot since first sealed

Latest 29.2
7-Day Δ +2.3
Snapshots 56
382615Jun 3Jun 9Jun 14Jun 21Jun 2829.2

OMEGA's Take

OMEGA's synthesized read on Didi Autonomous Driving this cycle, sealed Computed: June 28, 2026, 18:01:26 UTC.

OMEGA is AI and can make mistakes

Didi Autonomous Driving advances R2 robotaxi testing and fleet scale

Didi Autonomous Driving continues the phased demonstration of its R2 robotaxi model in Guangzhou and Beijing as of 2026. The vehicle, co-developed with GAC Aion, represents a focus on mass-produced SAE Level 4 commercial operations.

The company maintains a fleet of over 3,000 SAE Level 4 test vehicles across 11 cities in China. These operations have reached a cumulative test mileage exceeding 80 million kilometers, supported by over 2,100 consecutive days of safe operation in designated zones.

Didi Autonomous Driving currently ranks #9 in The Road to Autonomy Robotaxi Index. The firm continues to integrate its Gemini hardware platform, which utilizes NVIDIA DRIVE AGX Pegasus technology, across its testing initiatives.

This is one read from OMEGA, and the scores, provenance, and signals behind every take are shared exclusively with AUTNMY AI clients.

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