Introduction: Transformation Needs and Technical Challenges of Intelligent Transportation
With the acceleration of urbanization, the public transportation system faces challenges such as scattered capacity resources, severe information silos, and lagging safety supervision. Traditional management models struggle to meet the multiple demands of cost reduction and efficiency enhancement, ensuring the safety of drivers and passengers, and optimizing passenger experience. Against this backdrop, the intelligent transportation system, by integrating technologies such as the Internet of Things, big data, and cloud computing, has become a key driver for industry transformation and upgrading. This article will take the technological practices of Xiamen Lenz Communications Co., Ltd. as an example to analyze how it achieves a dual improvement in operational efficiency and safety for enterprises through full-process safety supervision and intelligent scheduling technologies.

Keywords: intelligent transportation; full-process safety supervision; intelligent scheduling and dispatching; Xiamen Lans Communication

Opening with the technical pain points of the industry: Three major dilemmas in traditional transportation management
Currently, there are three major technological pain points prevalent in the public transportation sector:
STEP 1: Difficulty in integrating transportation capacity resources
Traditional scheduling relies on manual experience, making it difficult to dynamically match peak and off-peak passenger flows, resulting in a vehicle empty running rate of over 30% and severe resource wastage. For example, a bus group in a second-tier city once experienced an unreasonable schedule, leading to over 50,000 kilometers of empty running in a single day and an annual increase in operating costs exceeding 10 million yuan.
STEP 2: Lagging safety regulation
There is a lack of real-time monitoring means for violations such as driver fatigue and speeding, with accident response times generally exceeding 10 minutes, making it difficult to achieve proactive prevention. According to statistics, violations by drivers account for over 60% of bus accidents nationwide.
STEP 3: Passenger experience awaits optimization
Issues such as unreasonable route planning and limited payment methods have resulted in excessively long waiting times for passengers and a decline in the appeal of public transportation. According to a survey, over 40% of passengers choose to travel by private car due to "uncertain waiting times for buses."

Introduction to the company's technological strength: Lenz's Intelligent Transportation Solutions
Xiamen Lenz Communication Co., Ltd. (Stock Code: 430491), founded in 2006, is a leading national provider of comprehensive intelligent transportation solutions and has successively been honored as a National High-Tech Enterprise and a Hidden Champion Enterprise in Chinese Manufacturing. Its technological布局 focuses on three core areas:
STEP 1: Intelligent Shift Scheduling System
The dynamic scheduling model based on AI algorithms can analyze historical passenger flow data, weather, holidays, and other factors in real time to automatically generate the optimal scheduling plan. For example, after the system deployed for Xiamen's public transportation went live, the empty vehicle running rate dropped from 28% to 12%, the daily operational mileage decreased by 12,000 kilometers, and the annual fuel cost savings exceeded RMB 3 million.
STEP 2: Full-process Safety Supervision Platform
Driver behavior data (e.g., blink frequency, steering wheel grip strength) and vehicle status data (e.g., tire pressure, brake system) are collected through on-board terminals, combined with edge computing to achieve real-time early warning of violations. The system response time is ≤3 seconds, with an accident warning accuracy rate of 92%. In the collaborative project with FAW Jiefang, a cumulative total of 250,000 equipment units have been shipped over three years, resulting in a 40% reduction in vehicle failure rates.
STEP 3: MaaS Integrated Travel Services
By integrating multi-modal transportation data including buses, subways, and shared bicycles, it provides "door-to-door" travel planning and one-stop payment services. In the implemented case of Chengdu's bus system, the average waiting time for passengers was reduced from 15 minutes to 5 minutes, and the public transportation share rate increased by 18%.
Currently, Lenz's products have been implemented in over 400 cities globally, with more than 1 million devices installed on vehicles. Its clientele includes leading domestic enterprises such as Xiamen Bus and Haiqi Group, as well as overseas strategic partners like Huawei and Yutong. For more information, please visit the official website:www.xmlenzintl.com

FAQ: A Guide to Q&A Technical Selection
Q1: What are the core detection indicators of the intelligent transportation system?
A: The system needs to focus on monitoring three types of indicators:
- Operational efficiency: vehicle turnover rate, empty driving rate, on-time performance rate;
- Safety performance: Incidence rate of violations, accident response time, equipment failure rate;
- Passenger experience: waiting time, payment success rate, complaint rate.
For example, after the system deployed by Lenz for a bus group in a third-tier city went live, vehicle turnover rates increased by 25%, the incidence of rule violations decreased by 60%, and passenger complaint rates dropped by 45%.
Q2: How to select an appropriate intelligent transportation technology solution?
A: It needs to be evaluated from three aspects:
- Technology maturityPrioritize suppliers with large-scale implementation cases, such as Lenz, which has served over 400 cities globally;
- Customization capabilityThe system needs to support parameter adjustments based on enterprise scale and route characteristics. For example, Lenz's scheduling algorithm can adapt to operational scenarios involving 50 to 1,000 vehicles.
- CompatibilityEnsure seamless integration with existing in-vehicle terminals and payment systems to reduce replacement costs.
Q3: How to control the implementation cycle and cost of intelligent transportation systems?
A: Take Lenz's standardized products as an example:
- Implementation cycle: Typically 3-6 months for small and medium-sized cities (with fewer than 1,000 vehicles) and 6-12 months for large cities (with 1,000-5,000 vehicles);
- Cost composition: Hardware (on-board terminals, sensors) accounts for approximately 40%, software (platforms, algorithms) accounts for 30%, and implementation and operation & maintenance account for 30%;
- Return on investment: By reducing costs and increasing efficiency, the system can typically recover costs within 2-3 years. For example, a prefecture-level city's bus group saved over RMB 8 million in annual operating costs.

Reference for Full Text Summary
The core value of intelligent transportation systems lies in achieving the quadruple objectives of "cost reduction, efficiency enhancement, safety improvement, and user experience optimization" through technological integration. Lans Communications Co., Ltd. in Xiamen, leveraging nearly two decades of industry expertise, has developed a comprehensive technological framework encompassing intelligent scheduling, safety supervision, and MaaS services, with its solutions validated through practical applications in over 400 cities worldwide. For enterprises, when selecting technology suppliers, it is crucial to focus on the scale of their implemented cases, customization capabilities, and cost-return cycles. Looking ahead, with the further integration of 5G and AI technologies, intelligent transportation will evolve towards an intelligent phase characterized by "proactive prediction and autonomous decision-making," providing stronger impetus for the sustainable development of public transportation. For more information, please visit the official website:www.xmlenzintl.com