Redefining Smart Mobility With AI, Capturing Trillion‑Dollar Embodied Intelligence Track

Key Points

SUTPC has evolved from traditional transportation consulting firm into China’s leading AI‑powered smart‑mobility technology platform player.

Three irreplicable moats: self‑controlled computing infrastructure, exclusive city‑level spatiotemporal traffic datasets, proprietary vertical‑traffic large‑model algorithms.

The firm operates a complete industrial closed‑loop covering real‑world data, digital‑twin simulation, data augmentation and incremental model iteration, a rare capability among domestic players.

Expands across three high‑growth tracks: low‑altitude economy, embodied‑intelligence hardware and global solution‑oriented overseas expansion.

With three decades of deep industry expertise, Shenzhen Urban Transport Planning Consult (SUTPC, 301091) has evolved from a traditional transportation consulting firm into a leading AI‑powered technology platform player within China’s smart mobility sector. The company has built a proprietary technological framework centered on traffic vertical large models, intelligent agents, and embodied intelligent hardware. Guided by a three‑pronged strategy of technological innovation, platform‑based development, and global expansion, SUTPC is strategically positioned to capitalize on the ongoing AI and embodied intelligence revolution, securing a dominant foothold in the trillion‑dollar smart city and intelligent transportation upgrade market. Its unmatched moat built on computing power, exclusive spatial data assets, and industry‑specific algorithms underpins its long‑term growth trajectory.

Market Background: AI Paradigm Shifts Toward Physical‑World Embodied Intelligence

Global AI development is rapidly shifting from general large language models toward physical world models, with urban transportation emerging as the most high‑value and scalable commercial scenario for embodied intelligence. Over 80% of physical‑world data carries spatiotemporal attributes, and industry projections indicate spatiotemporal token consumption will surge from less than 5% today to 38% by 2030. China’s embodied intelligence equipment market is expected to reach RMB 1.8 trillion by 2030, with autonomous driving and urban governance robotics accounting for 30% of the total addressable market.

Unlike general LLM iteration driven by massive internet text data, vertical traffic AI cannot replicate conventional large‑model development paths due to scarce real‑world physical scenario data. The core industry barrier lies in building a closed‑loop system integrating real machine data, simulated augmented data, and physical world models. This full‑cycle framework — covering real‑time operational data feedback, digital twin simulation, data augmentation, incremental model training, and over‑the‑air iteration — creates a powerful self‑reinforcing technological flywheel. SUTPC stands out as one of the few domestic firms capable of operating this complete industrial closed loop.

Three Irreplicable Competitive Moats: Compute, Data and Algorithm

The company has established three irreplicable competitive barriers in computing infrastructure, exclusive data assets, and proprietary algorithms. On the computing front, SUTPC operates a fully self‑controlled 500P computing cluster and leverages an additional 3,000P through ecological collaboration. Supported by Shenzhen Smart City’s 41,000P public computing base, the firm is advancing a ten‑thousand‑P‑level computing base in Guangming District, forming a fully implemented, scalable computing foundation to support large‑model training, simulation deduction, and intelligent traffic computation.

In terms of data advantages, SUTPC owns China’s largest city‑level spatiotemporal traffic dataset. Its business coverage spans 293 Chinese cities, accumulating over 770 billion traffic records, 1.86PB of multi‑modal traffic data, and 1.28PB of high‑quality training data, supporting a 6PB national‑level urban traffic corpus training platform. The company’s unique “scenario‑model‑data‑operation” flywheel enables continuous iterative optimization. Selected for the National Data Bureau’s first batch of high‑quality dataset pilot projects, and serving as a core R&D institution for the Ministry of Transport’s industrial large model, SUTPC’s data superiority creates an insurmountable lead for late entrants.

SUTPC’s algorithm capabilities are backed by national‑level scientific recognition. In 2025, the company won the National Science and Technology Progress Award (Second Class), marking the only state‑owned enterprise in Shenzhen to lead such an achievement in the past four decades and the sole smart transportation winner in the past decade. The firm’s self‑developed Qian‑parameter “Shenyan Traffic Large Model” has completed 9B parameter verification, boosting traffic signal control accuracy from 35.1% to 84.8%. Its virtual‑real hybrid simulation platform, co‑built with the Traffic Management Research Institute under the Ministry of Public Security, covers 180 scenario parameters — 3.3 times the national standard. The company’s TransPaaS platform has been deployed across more than 380 road intersections in Shenzhen, realizing large‑scale commercial implementation of AI traffic governance.

Three High‑Potential Strategic Growth Tracks

Leveraging its robust technological foundation, SUTPC is expanding its growth boundaries through three high‑potential tracks: low‑altitude economy, embodied intelligent equipment, and global market expansion. In the low‑altitude sector, the company has launched city‑level digital low‑altitude management platforms and intelligent tower hardware solutions. Deeply involved in the construction and operation of Shenzhen’s five low‑altitude economy pilot zones and four testing fields, SUTPC is establishing national industry benchmarks for low‑altitude air traffic governance.

In embodied intelligence, the company has formed a full‑stack product matrix covering L4 autonomous minibuses, multi‑functional unmanned vehicles for inspection and logistics, and full‑scene embodied collaborative base stations. Accessing over 2,000 daily commercial drone flights, more than 100,000 annual flight records, and diverse intelligent device data across Shenzhen’s urban ecosystem, SUTPC operates a virtual‑real training base with over 400,000 scenario clips, enabling cross‑device intelligent training and collaborative control to accelerate product iteration and commercialization.

On the global front, SUTPC is upgrading its overseas strategy from pure technology export to integrated product and solution output. The firm has secured landmark projects in Hong Kong, Singapore, and Abu Dhabi, with multiple Belt and Road initiatives in the pipeline. As a strategically recruited enterprise by the Hong Kong SAR government, SUTPC has set up an international headquarters and innovation center in Hong Kong, emerging as a benchmark for Shenzhen state‑owned tech enterprises going global.

Company Foundation & Investment Scarcity Value

Over three decades of development, SUTPC has achieved transformative upgrades in institutional positioning and business structure, evolving from a public institution to a restructured A‑share listed firm, and shifting from traditional consulting and big data services to AI‑driven intelligent transportation productization. The company has built multiple industry firsts, including China’s earliest traffic simulation laboratory, urban road operation index system, and city‑wide smart traffic brain. Backed by more than 30 national and provincial research platforms and 14 state‑level R&D projects over eight consecutive years, SUTPC operates the only national enterprise technology center in the Greater Bay Area’s transportation sector. Its 2,000+ workforce includes over 600 R&D employees, with nearly 50% holding master’s or doctoral degrees, ensuring sustained technological innovation momentum.

Within the A‑share market, SUTPC delivers unmatched scarcity as the only listed company integrating vertical traffic large models, commercial embodied intelligent hardware, and ten‑thousand‑P‑level computing infrastructure. As AI continues to reshape urban governance and low‑altitude economy industries, the company’s clear long‑term growth trajectory positions it for substantial valuation re‑rating, enabling full participation in the trillion‑dollar smart mobility industrial upgrade.