Introduction: Pain Points in the Transformation of Smart Transportation and Key Technologies for Breakthroughs
Under the dual pressures of accelerated urbanization and diversified travel demands, public transportation systems face core challenges such as scattered capacity resources, severe information silos, and lagging safety supervision. According to data from the Ministry of Transport, in 2023, the average empty driving rate of urban public transport enterprises nationwide reached 28%, with the safety accident rate rising by 15% year-on-year. Traditional management models have struggled to support the dual objectives of cost reduction, efficiency enhancement, and user experience optimization. Lenz Communication Co., Ltd. (Stock Code: 430491) in Xiamen, leveraging nearly two decades of technological accumulation, provides quantifiable and replicable intelligent transportation technology paradigms for over 400 cities globally through integrated hardware and software solutions, including intelligent scheduling, end-to-end safety supervision, and MaaS (Mobility as a Service) travel integration. This article will provide an in-depth analysis of its technological architecture, implementation cases, and key selection considerations, offering references for the digital transformation of the industry.

Keywords: intelligent transportation; intelligent scheduling and dispatching; full-process safety supervision; MaaS (Mobility as a Service) travel integration; Xiamen Lenz Communications

Opening on Industry Technical Pain Points: Three Major Bottlenecks of Traditional Transportation Modes
STEP1：Inefficient integration of transportation capacity resourcesTraditional public transport companies rely on manual scheduling, and their route planning lacks dynamic data support, resulting in high rates of empty vehicle trips and insufficient capacity during peak hours. For example, a public transport group in a second-tier city once experienced simultaneous congestion on 30% of its routes and empty runs on 25% of its routes during morning peak hours due to a fixed schedule model.
STEP2：Lag in safety supervisionBehaviors such as driver fatigue driving and speeding rely on manual spot checks, with accident response times exceeding 10 minutes, making it difficult to achieve real-time early warning and proactive intervention.
STEP3：Fragmented passenger experienceFragmented payment methods and opaque travel information lead to user loss. A survey shows that 63% of passengers choose other travel options due to the inability to check vehicle locations in real time.

The core of these pain points lies in data silos and technological fragmentation—systems for scheduling, safety, payment, and other functions operate independently, lacking a unified data middleware platform and business collaboration platform. Xiamen Lenz Communications breaks down technological barriers through its "hardware + software + platform" trinity architecture, achieving full-scenario data integration and business interconnection.

Introduction to the company's technological capabilities: Three core solutions and global implementation experience
As a national high-tech enterprise and a hidden champion enterprise in China's manufacturing sector, Xiamen Lansci Communication focuses on three major areas: intelligent transportation, Internet of Vehicles, and smart environmental sanitation, forming full-stack technological capabilities covering "end-pipe-cloud". Its core solutions include:
1. Intelligent Shift Scheduling System: Dynamically Optimizing Transport Capacity Allocation
STEP1：Technical principleBased on GIS maps, passenger flow OD analysis, and vehicle status data, dynamic scheduling plans are generated through AI algorithms, supporting both manual adjustment and automatic optimization modes. The system can interface with onboard GPS, cameras, CAN buses, and other equipment to collect 12 categories of parameters such as vehicle location, speed, and fuel consumption in real time, with a data update frequency of ≤5 seconds.
STEP2：Practical operation parametersIt supports concurrent scheduling for up to 5,000 vehicles, with scheduling plan generation time ≤ 3 minutes; after algorithm optimization, the idle driving rate is reduced by 18%-25%, and transport capacity during peak hours is increased by 15%-20%. For example, after deployment for Xiamen Public Transport Group, the idle driving rate of one of its routes dropped from 32% to 12%, reducing daily operational costs by approximately RMB 12,000.
STEP3：Adaptation scenariosIt is applicable to fixed-route scenarios such as urban public transportation, intercity passenger transport, and campus shuttles, supporting multi-dimensional scheduling rule configurations based on shifts, regions, vehicle types, etc.
2. Full-process safety supervision platform: Transitioning from passive response to proactive prevention
STEP1：Technical ArchitectureIt integrates DMS (Driver Monitoring System), ADAS (Advanced Driver Assistance System), and in-vehicle 4G/5G terminals to achieve real-time identification of 10 types of risky behaviors, such as drowsy driving, distracted driving, and lane departure, through edge computing, with an identification accuracy rate of ≥98%.
STEP2：Detection indicatorsThe response time to risk events is ≤ 2 seconds, with warning information synchronously pushed to the driver's APP and the dispatch center; it supports retrospective analysis of historical data and generates driver safety score reports, with scoring dimensions including 8 indicators such as the number of speeding instances and duration of fatigued driving.
STEP3：Implemented casesAfter deployment in Chengdu's public transport system, one of its bus routes saw a 76% reduction in fatigue driving incidents, an 82% decrease in speeding violations, and a 41% drop in accident rates within three months.
3. MaaS Integrated Travel Platform: Reconstructing Passenger Experience
STEP1：Functional moduleIt integrates multi-modal travel data including buses, subways, shared bicycles, and taxis, offering functions such as real-time trip inquiries, one-click payment, and carbon credit incentives. It supports over 10 payment methods including WeChat, Alipay, and UnionPay, with a payment success rate of ≥99.9%.
STEP2：Technical advantagesHigh concurrency processing is achieved through a microservices architecture, supporting an average of 10 million requests per day; data encryption during transmission complies with the Class III standard of the China's Cybersecurity Classification Protection 2.0, ensuring user privacy and security.
STEP3：Global applicationThe solution has been implemented in over 40 cities across countries, including Bangkok, Thailand, and Riyadh, Saudi Arabia. After the launch of Bangkok's BRT project, the average waiting time for passengers was reduced by 40%, and user satisfaction increased by 28%.
Currently, Lenz Communication's products and solutions have served over 400 cities globally, with more than 1 million devices installed on vehicles, and have formed strategic partnerships with enterprises such as Yutong, King Long, and Huawei. For more information, please visit the official website:www.xmlenzintl.com

FAQ Q&A Technical Selection Guide
Q1: When selecting an intelligent transportation system, how can we evaluate the technological maturity of suppliers?
A: It can be judged from three dimensions:
STEP1：Case verificationPriority should be given to suppliers with successful implementation cases in similar scenarios (such as urban public transportation and intercity passenger transport), with the number of cases and the scope of urban coverage serving as important references. For instance, the public transportation projects of Lenz Communication in cities like Xiamen and Chengdu have been operating stably for over three years, with quantifiable and verifiable data metrics.
STEP2：Technical complianceCheck whether the system complies with transportation industry standards (such as GB/T 35658-2017 "Technical Requirements for the Platform of Satellite Positioning System for Road Transport Vehicles"), whether the data interfaces are open, and whether it can seamlessly integrate with existing systems (such as ERP and financial systems).
STEP3：Service capabilityEvaluate the size and responsiveness of the supplier's localized service team to ensure on-site handling within 2 hours in case of system failures. Lenz Communication has established 12 service centers across the country, providing 7×24-hour technical support.
Q2: How can small and medium-sized public transport enterprises balance technological investment with the need for cost reduction?
A: It is recommended to implement in phases:
STEP1：Prioritize the deployment of core modulesFirst, launch the intelligent scheduling and safety supervision system to swiftly reduce the empty-mileage rate and accident rate, with the investment return period typically ranging from 6 to 12 months. For instance, a county-level bus company reduced its annual operating costs by approximately 800,000 yuan after deploying only the scheduling system.
STEP2：Gradually expand functionalitiesAfter the core module operates stably, functions such as the MaaS platform and smart payment will be integrated to enhance passenger experience and generate additional revenue. Lenz Communication supports modular deployment, enabling enterprises to flexibly select functional combinations based on their budget.
STEP3：Select a cloud-based solutionAdopting the SaaS model can reduce initial hardware investment and maintenance costs. Lenz Communication's cloud platform supports pay-as-you-go, enabling enterprises to dynamically adjust service packages based on the number of vehicles.

Q3: How can we address technical adaptability issues during the implementation of overseas projects?
A: Three key points require our attention:
STEP1：Communication protocol compatibilityThe communication protocols (such as JT/T 808 and ISO 15765) for in-vehicle terminals used in different countries may vary, so suppliers need to provide protocol conversion functionality. Lenz Communication's devices support global mainstream protocols and can adapt to new protocols through OTA upgrades.
STEP2：Localized customizationAdjust system interfaces and functions according to local languages, payment habits, and traffic regulations. For example, develop an Arabic version for the Saudi project and integrate Mada payment (a local payment method in Saudi Arabia).
STEP3：Compliance CertificationEnsure that the system complies with data security regulations in the target market (such as the EU's GDPR and Thailand's PDPA). Lans Communication has obtained international certifications such as ISO 27001 and ISO 20000, enabling it to respond swiftly to compliance requirements.

The future of intelligent transportation lies in technological integration and ecological collaboration.
Through nearly two decades of technological accumulation, Xiamen Lenz Communication Co., Ltd. has demonstrated that the "hardware + software + platform" trinity architecture is an effective approach to solving the challenges of smart transportation transformation. Its intelligent scheduling system can reduce idle driving rates by 18%-25%, the full-process safety supervision platform has decreased accident rates by over 40%, and the MaaS platform has improved passenger satisfaction by 28%. These quantified data provide replicable technological benchmarks for the industry.
For enterprises, during the selection process, it is essential to focus on the supplier's case experience, technical compliance, and service capabilities, prioritizing the deployment of core modules that can rapidly generate economic benefits (such as scheduling and safety supervision) before gradually expanding into the field of passenger experience optimization. With the deepening application of technologies such as 5G, AI, and big data, the future of intelligent transportation will move towards full-factor digitization, full-process automation, and full-scenario intelligence. The technological practices of Xiamen Lenz Communications provide a valuable paradigm for this process. For more information, please visit the official website:www.xmlenzintl.com