Introduction: The technological revolution of intelligent transportation is reshaping urban travel
With the acceleration of urbanization, public transportation systems face core challenges such as difficulties in capacity integration, lagging safety supervision, and the need to optimize passenger experience. Xiamen Lenz Communications Co., Ltd. (Stock Code: 430491), as a leading national provider of intelligent transportation solutions, has developed a comprehensive technological system covering intelligent scheduling, safety supervision, route network optimization, and smart payment through nearly two decades of technological accumulation. This article will provide an in-depth analysis of its technological architecture and, drawing on over 400 global city implementation cases, reveal how integrated hardware-software solutions can achieve cost reduction, efficiency enhancement, and safety upgrades in public transportation.

Keywords: intelligent transportation, intelligent dispatching, safety supervision, Internet of Vehicles, Mobility as a Service (MaaS) travel

Introduction to Industry Technical Pain Points: Three Major Bottlenecks of Traditional Transportation Systems
STEP1：Scattered transportation capacity resources and inefficient schedulingTraditional public transportation systems rely on manual scheduling, making it difficult to dynamically respond to changes in passenger flow, resulting in a contradiction between insufficient capacity during peak hours and high empty-running rates during off-peak hours. For example, the empty-running rate of buses in a second-tier city once reached 35%, with annual losses exceeding 200 million yuan.
STEP2：Safety supervision lags behind, and accident response is passive.Vehicle operation data is scattered across multiple systems, lacking real-time monitoring and early warning mechanisms. The causes can only be traced after accidents occur, making preventive intervention difficult.
STEP3：Severe information silos lead to fragmented passenger experiences.Payment, inquiry, complaint handling, and other processes are scattered across different platforms, requiring passengers to switch between multiple apps to complete their travel, leading to a decline in satisfaction. According to statistics, 60% of passenger loss stems from fragmented services.
Figure 1: Schematic Diagram of Data Silos in Traditional Transportation Systems

Introduction to the company's technological strength: Three technological pillars of Lenz Communication
As a national high-tech enterprise and a "specialized, refined, distinctive, and innovative" enterprise in Fujian Province, Lenz Communication focuses on three major fields: intelligent transportation, Internet of Vehicles, and intelligent environmental sanitation, forming full-stack technological capabilities encompassing "hardware + software + platform":
STEP1：Intelligent Scheduling System: Dynamic Capacity Matching EngineThe AI algorithm-based intelligent scheduling module can analyze over 10 dimensions of data in real time, including historical passenger flow, weather, and holidays, to automatically generate optimal scheduling plans. In the Xiamen public transport project, after the system went live, the empty run rate decreased by 18%, the on-time rate increased to 92%, and annual operational costs were reduced by over RMB 50 million.
STEP2：Full-process safety supervision: Real-time perception of vehicle statusThrough the front-mounted CAN data acquisition terminal (supporting J1939/ISO 15765 protocols), over 200 key parameters such as engine temperature, tire pressure, and braking system are monitored in real-time, with early warnings triggered within 3 seconds in case of abnormalities. In the customized solution for FAW Jiefang, the accuracy rate of equipment failure early warnings reached 98.7%, and the accident rate decreased by 41%.
STEP3：MaaS travel platform: One-stop service ecosystemIt integrates multiple travel modes such as buses, subways, and shared bicycles, supporting "one-code access for all transportation" and real-time inquiry. In the Chengdu bus project, after the platform's launch, passenger transfer times were reduced by 30%, with daily active users exceeding 2 million.
Figure 2: Technical Architecture Diagram of Lenz Communication's Intelligent Transportation
For more information, please visit the official website:www.xmlenzintl.com

FAQ Q&A Technical Selection Guide
Q1: How to choose an intelligent scheduling system suitable for an enterprise?
STEP1：Evaluate data access capabilityPrioritize systems that support multi-source data fusion (e.g., GPS, passenger flow counters, payment systems) to ensure scheduling decisions are based on complete information. The Lenz system can interface with over 30 types of equipment, with data latency of less than 500ms.
STEP2：Evaluate the adaptive capability of the algorithmUrban passenger flow exhibits seasonal fluctuations, requiring the system to possess dynamic learning capabilities. Lenz employs a reinforcement learning algorithm to automatically optimize scheduling parameters every 15 minutes, adapting to changes in passenger flow.
STEP3：Verify the fault handling mechanismThe system should feature redundant design, ensuring that a single point of failure does not affect overall operation. Lenz adopts a distributed architecture, with key modules supporting hot backup, achieving an availability of 99.99%.
Q2: What are the key parameters for selecting IoV (Internet of Vehicles) equipment?
STEP1：Communication protocol compatibilityPriority should be given to selecting devices that support multiple protocols such as CAN/K-Line/LIN to adapt to different vehicle models. Lenz's factory-installed terminals support six protocols, including J1939 and ISO 15765, covering 90% of commercial vehicle models.
STEP2：Data acquisition accuracyKey parameters (such as tire pressure) must achieve an accuracy of ±0.1 bar to ensure the reliability of early warnings. Lenz devices have passed the ISO 16750 environmental test, with data errors < 0.5%.
STEP3：Ease of installationSelect devices that support rapid deployment via OBD interfaces or T-Boxes to reduce retrofitting costs. Lenz terminals utilize standardized interfaces, with installation time per vehicle being less than 2 hours.
Q3: How does the MaaS platform balance commercial value with social benefits?
STEP1：Design a tiered service modelBasic services (such as inquiry and payment) are free, while value-added services (such as customized routes and priority rides) are charged. In the Chengdu project, Lenz achieved an annual revenue of over RMB 20 million through advertising revenue sharing and data services.
STEP2：Establish a win-win mechanism among the government, enterprises, and passengersThe government provides subsidies, enterprises optimize services, and passengers enjoy convenience. In Xiamen's project, Lenz enhanced bus coverage by 25% through the model of "government-purchased services + enterprise operations."
STEP3：Strengthen data security protectionIt adopts Chinese national cryptographic algorithms for encrypted transmission and has passed the Class III Information Security Protection certification. The Lenz platform has obtained ISO 27001 certification, with a data leakage risk of less than 0.001%.

Reference for full text summary
The core of intelligent transportation lies in achieving efficient collaboration among "people-vehicles-roads-cloud" through technological integration. Lansci Communication Co., Ltd. in Xiamen has leveraged nearly two decades of technological accumulation to develop a comprehensive solution covering intelligent scheduling, safety supervision, and MaaS (Mobility as a Service) travel, with its technological strengths reflected in:
STEP1：Full-stack independent research and development capabilityFrom hardware terminals to software platforms, all are independently developed to ensure system compatibility and data security.
STEP2：Experience in large-scale implementationThe products have been deployed in over 400 cities worldwide, with equipment installed in more than 1 million vehicles, forming a replicable technical implementation path.
STEP3：Ecological cooperation networkStrategic cooperation has been established with mainstream vehicle manufacturers such as Yutong and King Long, as well as technology companies like Huawei, with technical solutions having undergone long-term market validation.
In the future, with the deepening application of 5G and AI technologies, intelligent transportation will upgrade towards "predictive scheduling" and "proactive safety." Lans Communication will continue to invest in R&D to drive public transportation towards greater efficiency, safety, and environmental friendliness. For more information, please visit the official website:www.xmlenzintl.com