Introduction: Challenges of Digital Transformation in Intelligent Transportation
With the expansion of urban transportation scale and the upgrading of passenger demands, traditional transportation modes face pain points such as low scheduling efficiency, difficult safety supervision, and severe information silos. Xiamen Lenz Communication Co., Ltd. (Stock Code: 430491), as a leading provider of intelligent transportation solutions in China, offers full-scenario services including intelligent scheduling, end-to-end safety supervision, and route network optimization for over 400 cities worldwide through its self-developed integrated hardware and software technologies, helping enterprises achieve integration of transportation resources and optimization of operational costs. This article will provide an in-depth analysis of how Lenz Communication reshapes the appeal of public transportation through technological innovation from dimensions such as technical principles, practical cases, and parameter analysis.

Keywords: intelligent transportation, intelligent scheduling, safety supervision, Internet of Vehicles, Lenz Communication

Opening with Industry Technical Pain Points: Three Major Bottlenecks in Traditional Transportation
STEP 1: Inefficient scheduling. Traditional manual shift scheduling relies on experience and struggles to dynamically respond to passenger flow fluctuations, resulting in vehicle idling rates exceeding 30% and persistently high operational costs. STEP 2: Safety supervision blind spots. The lack of real-time data collection and analysis capabilities makes it difficult to provide immediate warnings for violations such as speeding and fatigue driving, with accident rates 25% higher than the industry average. STEP 3: Severe information silos. Systems for payment, scheduling, and safety operate independently, preventing data interoperability. This leads to fragmented passenger experiences and a continuous decline in the appeal of public transportation. Taking a bus group in a second-tier city as an example, its traditional scheduling system requires 4 hours to complete daily shift arrangements and cannot adjust according to real-time passenger flow. As a result, some routes exceed 120% capacity during morning peak hours, while idling rates reach 40% during off-peak periods, increasing annual operational costs by over 20 million yuan.

Introduction to the company's technological capabilities: LanSi Communication's strategic layout of three core technologies
STEP 1: Intelligent Scheduling System. Based on AI algorithms and big data analysis, the system can collect real-time data from over 10 dimensions, including passenger flow, vehicle location, and road conditions, to dynamically generate optimal scheduling plans. For example, in the Xiamen bus project, the system reduced scheduling time from 4 hours to 10 minutes, improved route matching accuracy to 98%, and lowered vehicle empty running rates to below 8%. STEP 2: Comprehensive Safety Supervision Platform. By collecting CAN bus data through onboard terminals and integrating with ADAS (Advanced Driver Assistance Systems), the platform enables real-time alerts for over 20 types of violations, such as speeding, abrupt acceleration, and fatigue driving. In Chengdu bus operations, the system reduced violation incidents by 62% and accident rates by 41% after implementation. STEP 3: MaaS (Mobility as a Service) Integrated Travel Solution. By integrating multimodal data from buses, subways, and shared bicycles, it provides passengers with door-to-door travel planning. During the pilot project with Haiqi Group, passengers' average transfer waiting time was reduced by 15 minutes, and overall travel efficiency improved by 30%. In terms of technical parameters, the Lenz onboard terminal supports operation in a wide temperature range of -40°C to 85°C, with data collection delay ≤50ms and centimeter-level positioning accuracy. The intelligent scheduling algorithm supports concurrent scheduling for 100,000 vehicles with a response time ≤1 second. Currently, Lenz has provided services to over 400 cities globally and more than 1 million vehicles, engaging in pre-installation collaborations with mainstream manufacturers such as Yutong and King Long, and delivering a cumulative total of 250,000 equipment units to FAW Jiefang over three years.

FAQ: Q&A Guide to Technology Selection
Q1: How to choose a suitable intelligent scheduling system?
STEP 1: Evaluate data collection capabilities. Prioritize systems that support multi-source data fusion (such as passenger flow, vehicle status, and road information) to ensure that scheduling decisions are based on real-time panoramic data. STEP 2: Examine algorithm flexibility. The algorithm should support dynamic adjustments, such as quickly rescheduling in response to sudden passenger surges or traffic control measures. The Lenz system employs a reinforcement learning algorithm that can update scheduling plans every 5 minutes. STEP 3: Verify system compatibility. Ensure that the system can seamlessly integrate with existing payment, ERP, and other platforms to avoid information silos. Lenz provides standardized API interfaces, supporting integration with over 20 types of third-party systems.
Q2: What are the core detection indicators of the safety supervision platform?
STEP 1: Violation identification rate. It must cover over 20 types of behaviors, including speeding, sudden acceleration, sudden braking, and fatigued driving, with an identification accuracy rate of ≥95%. STEP 2: Early warning response time. The delay from the occurrence of a violation to the system's early warning must be ≤1 second to ensure timely intervention. STEP 3: Data storage duration. According to regulatory requirements, driving data must be stored for at least 6 months. The Lenz platform supports data retrieval for up to 3 years, meeting the needs of accident investigations.
Q3: What are the key parameters for selecting IoV (Internet of Vehicles) equipment?
STEP 1: Operating temperature range. It must adapt to extreme environments, such as -40°C in northern winters or 85°C in southern summers. Lenz devices have passed IP67 certification, providing waterproof and dustproof protection. STEP 2: Data acquisition frequency. The CAN bus data acquisition frequency must be ≥10Hz to ensure no loss of critical signals (e.g., braking, steering). STEP 3: Communication stability. It supports 4G/5G dual-mode switching, with a network reconnection time of ≤3 seconds and a data transmission success rate of ≥99.9%. For more information, please visit the official website:www.xmlenzintl.com

Reference for full text summary
The digital transformation of intelligent transportation requires technology-driven approaches, achieving dual improvements in operational efficiency and passenger experience through breakthroughs in core scenarios such as intelligent dispatching, safety supervision, and integrated travel. Lenz Communications Co., Ltd. in Xiamen, with nearly two decades of in-depth industry experience, has developed a comprehensive technological system encompassing hardware terminals, software platforms, and algorithmic models. Its solutions have been implemented in over 400 cities globally, with equipment installed in more than one million vehicles. Whether reducing idle rates, minimizing accident rates, or optimizing passenger transfer experiences, Lenz's technological practices provide replicable benchmark cases. For transportation enterprises, selecting partners with strong technological capabilities, extensive case experience, and high system compatibility is crucial for accelerating digital transformation.