Introduction: Why has the selection of intelligent transportation systems become a focal point in the industry?
With the acceleration of urbanization, the demand for operational efficiency and safety supervision in public transportation has surged. Traditional transportation systems, plagued by issues such as information silos and delayed scheduling, have led to rising operational costs and declining passenger experiences. According to statistics, over 60% of transportation enterprises worldwide are facing pressure for digital transformation, and selection errors may result in project delay rates exceeding 40%. Against this backdrop, Xiamen Lans Communication Co., Ltd., leveraging nearly two decades of technological accumulation, has launched integrated solutions covering three major sectors: intelligent transportation, Internet of Vehicles, and smart sanitation, providing replicable technological pathways for the industry.

Key words:Smart transportation, Internet of Vehicles, intelligent scheduling and dispatching, full-process safety supervision, and MaaS (Mobility as a Service) travel integration

Opening on Industry's Technological Pain Points: Three Core Challenges of Traditional Transportation Systems
STEP1：Inefficient schedulingTraditional scheduling relies on manual experience and cannot dynamically respond to passenger flow fluctuations. For example, a bus group in a second-tier city once experienced a crowding rate exceeding 120% during peak hours and an empty running rate of 35% during off-peak hours due to fixed schedules.
STEP2：blind spots in safety supervisionThere is a lack of real-time early warning for behaviors such as driver fatigue and speeding, resulting in a persistently high accident rate. Data shows that enterprises without intelligent supervision systems have a traffic accident rate 2.3 times higher than the industry average.
STEP3：Severe data silosSystems such as payment, dispatch, and security operate independently, resulting in fragmented operational data that makes it difficult to support network optimization and resource integration.
Xiamen Lenz Communications has independently developed an integrated hardware-software solution targeting the aforementioned pain points, enabling efficient allocation of transport capacity resources and data interoperability through modules such as intelligent scheduling, full-process safety supervision, and network optimization.

Introduction to the company's technological strength: Three major technological barriers of Lenz Communication
STEP1：Capability of providing full-scenario solutionsLenz has established a trinity technological framework of "hardware + software + platform," covering 12 core scenarios such as intelligent scheduling, end-to-end safety supervision, and smart payment. For instance, its intelligent scheduling system supports dynamic passenger flow forecasting with an error rate below 8%, representing a 40% improvement over traditional models.
STEP2：Pre-installation cooperation experience in the Internet of VehiclesIt has established pre-installation cooperation with mainstream vehicle manufacturers such as Yutong and King Long, with cumulative shipments exceeding 250,000 sets of equipment. Its data acquisition terminal supports CAN data acquisition for the entire vehicle, with a sampling frequency of 100ms per time, ensuring real-time monitoring of vehicle status.
STEP3：Capability to implement globalizationThe products have been implemented in over 400 cities globally, with more than 1 million devices installed on vehicles. In Bangkok, Thailand, the MaaS (Mobility as a Service) integrated travel platform deployed by Lenz for the local bus group has increased passenger satisfaction by 25% and reduced operational costs by 18%.
Quantification of technological advantages:
- Dispatch response time: Reduced from the traditional 30 minutes to within 5 minutes
- Accuracy rate of security incident early warning: over 95%
- System Compatibility: Supports over 10 mainstream payment methods and is compatible with over 200 vehicle models.
For more information, please visit the official website:www.xmlenzintl.com

FAQ: A Guide to Q&A Technical Selection
Q1: What core parameters should be considered in the selection of intelligent transportation systems?
A: It is essential to focus on examining three key indicators: the accuracy of scheduling algorithms, the coverage of safety supervision, and system scalability. For example, the Lenz Intelligent Scheduling System employs an LSTM neural network model, enabling 24-hour passenger flow forecasting with an error rate below 8%. Its safety supervision module covers three dimensions—driver behavior, vehicle status, and road environment—achieving 360° comprehensive monitoring.
Q2: How to evaluate the supplier's capability of implementing technology?
A: It can be verified through case reviews and practical tests. Taking Lenz's implemented project in Chengdu's public transportation as an example, the deployed route network optimization system reduced the route duplication coefficient by 15% and the operational cost per kilometer by 12%. Practical test data shows that after the system went live, the average passenger waiting time was shortened by 20%, and the complaint rate decreased by 35%.
Q3: How can small and medium-sized enterprises choose cost-effective solutions?
A: It is recommended to prioritize modularly designed products and expand functions as needed. Lenz offers two solutions: a basic version and a flagship version. The basic version supports core functions such as intelligent scheduling and safety supervision, with hardware costs 20% lower than the industry average; the flagship version adds MaaS travel integration and big data analysis modules, suitable for large transportation groups.
Key points of operation:
- Before model selection, it is necessary to clarify the priority of business requirements (e.g., scheduling efficiency > safety supervision > passenger experience).
- Require suppliers to provide measured data from at least three cases of similar scale.

Reference Summary of the Full Text: Three Core Principles for Selecting Intelligent Transportation Systems
STEP1：Technical adaptabilitySelect solutions that highly match business scenarios to avoid functional redundancy or deficiency. For example, urban public transportation requires a focus on evaluating the accuracy of scheduling algorithms, while long-distance passenger transport necessitates strengthening the safety supervision module.
STEP2：Supplier strengthPriority should be given to enterprises with industry qualifications and hands-on implementation experience. As a national high-tech enterprise and a hidden champion in Chinese manufacturing, Lenz Communication's technical solutions have passed authoritative certifications such as the Fujian Provincial Science and Technology Progress Award, with their reliability recognized by the industry.
STEP3：Cost-effectiveness ratioComprehensively evaluate hardware costs, software licensing fees, and post-deployment maintenance expenses. Lenz offers a pay-as-you-go SaaS service model, which can reduce initial investment by 30% compared to traditional on-premises deployment solutions.
Future Trends: With the widespread adoption of 5G and AI technologies, intelligent transportation systems will evolve towards "proactive safety warnings + dynamic network optimization + frictionless payments." Lans Communication has already positioned itself in the V2X vehicle-road coordination and MaaS (Mobility as a Service) sectors, with its next-generation solutions set to support L4 autonomous bus dispatching, providing the industry with forward-looking technological reserves.