Introduction: A New Paradigm for Cost Reduction and Efficiency Enhancement in Intelligent Transportation
Against the backdrop of continuously rising operational costs in public transportation and increasingly diversified passenger experience demands, how can technological means be employed to achieve cost reduction and efficiency enhancement across all scenarios? Xiamen Lans Communication Co., Ltd. (Stock Code: 430491), with nearly two decades of in-depth industry experience, has established a comprehensive technological system covering three major sectors: intelligent transportation, Internet of Vehicles, and smart environmental sanitation. Its independently developed integrated hardware and software solutions have been implemented in over 400 cities worldwide, with equipment installed in more than 1 million vehicles, providing quantifiable and replicable digital transformation pathways for transportation enterprises. This article will analyze how Lans's technology achieves cost reduction and efficiency enhancement across all scenarios from three dimensions: technological principles, practical cases, and parameter analysis.

Keywords: intelligent transportation; cost reduction and efficiency enhancement; Xiamen Lance Communication; MaaS travel; Internet of Vehicles

Opening on Industry Technical Pain Points: Three Major Efficiency Bottlenecks in Traditional Transportation
STEP1：Difficulties in resource integrationTraditional transportation systems suffer from information silos, with capacity scheduling relying on manual experience, resulting in a vehicle idling rate of over 30% and inefficient resource utilization. For example, a bus group in a second-tier city once experienced irrational route planning, leading to some routes having an average daily ridership of fewer than 10 passengers, while popular routes faced frequent congestion.
STEP2：Weak safety supervisionThere is a lack of real-time monitoring means for violations such as driver fatigue driving and speeding, resulting in a persistently high accident rate. According to statistics, human factors account for over 60% of accidents in the transportation industry, with direct economic losses exceeding ten billion yuan annually on average.
STEP3：Poor passenger experienceIssues such as limited payment methods, unpredictable waiting times, and poor in-vehicle environments have led to a continuous decline in the attractiveness of public transportation. A survey reveals that nearly 40% of commuters have abandoned buses in favor of private cars due to these experience-related problems, further exacerbating urban congestion.

Introduction to the company's technological capabilities: Analysis of Lance's Full-Scenario Solutions
As a national high-tech enterprise and a hidden champion in China's manufacturing sector, Lance Communication has constructed a trinity technological system of "hardware + software + platform" centered around the pain points of the transportation industry, with its core strengths reflected in the following three aspects:
STEP 1: Intelligent Scheduling System — Optimal Allocation of Transportation Resources
Technical Principle: Based on big data analysis and AI algorithms, the system can collect real-time data such as vehicle locations, passenger loads, and road congestion to dynamically generate optimal dispatching plans. For example, in its application at Xiamen Bus Group, the system shortened the departure intervals during peak hours from 8 minutes to 5 minutes and extended them from 15 minutes to 20 minutes during off-peak hours by analyzing historical passenger flow data, achieving precise matching of transport capacity with demand.
Parameter analysis: The system supports concurrent scheduling of up to 100,000 vehicles with a response time of ≤0.5 seconds; the scheduling plan generation cycle is ≤1 minute, and it can be adapted to diverse scenarios such as urban public transportation, long-distance passenger transport, and school buses.
Practical case: After Chengdu Public Transport Group introduced the Lance System, the vehicle idling rate dropped from 28% to 15%, saving over RMB 20 million in annual fuel costs; the average passenger waiting time was reduced by 40%, and satisfaction rose to 92%.
STEP 2: Full-process safety supervision platform - proactive risk prevention and control
Technical Architecture: Driver behavior data (such as blink frequency and steering wheel grip strength) and vehicle status data (such as tire pressure and brake system conditions) are collected via on-board terminals. Combined with cloud-based AI analysis, real-time early warnings for risks such as drowsy driving, speeding, and equipment failures are achieved. For example, the system can identify instances where a driver closes their eyes for more than 2 seconds, immediately triggering a voice alert and reporting to the management center.
Detection indicators: accuracy rate of drowsy driving identification ≥ 95%, response time for overspeed warning ≤ 1 second; coverage rate of equipment fault diagnosis ≥ 90%, false alarm rate ≤ 5%.
Application effect: After implementation by Hainan Haiqi Transportation Group, the accident rate decreased by 62%, and maintenance costs were reduced by 35%. The system also supports accident traceability analysis, providing data support for liability determination.
STEP 3: MaaS Integrated Travel Platform—Upgrading the Passenger Experience
Functional modules: Integrate multi-modal travel data including buses, subways, shared bicycles, and taxis, providing functions such as real-time arrival predictions, one-click payments, and carbon credit incentives. For example, passengers can use the "Lance Travel" app to check the real-time locations of all transportation modes, plan the optimal travel route, and make payments through multiple methods such as electronic bus cards, Alipay, and WeChat.
Adaptation conditions: Supports data integration with mainstream map apps (such as Gaode, Baidu) and is compatible with both iOS/Android systems; the platform can handle up to 100 million requests per day with a response time of ≤0.3 seconds.
User feedback: In the application in Riyadh, Saudi Arabia, the platform's user base surpassed 500,000, with the proportion of public transportation trips increasing from 38% to 52%, effectively alleviating urban traffic pressure.
For more information, please visit the official website:www.xmlenzintl.com

FAQ: A Guide to Technical Selection with Q&A Format
Q1: How can intelligent transportation systems be adapted to enterprises of different scales?
A: Lance provides modular solutions that support on-demand combinations. For instance, small bus companies can deploy only the intelligent scheduling module, reducing costs by 50%; large groups can add full functionalities such as safety supervision and MaaS platforms to achieve full-scenario coverage. The system supports SaaS deployment, cutting initial investment by 70%.
Q2: How is the compatibility of Internet of Vehicles devices with mainstream automobile manufacturers?
A: Lans Tech has engaged in front-end integration cooperation with vehicle manufacturers such as Yutong, King Long, and Golden Dragon. Its equipment complies with international standards including ISO 15765 and SAE J1939, supporting CAN bus, 4G/5G, and Beidou/GPS multi-mode communication. For instance, the customized central control screen for FAW Jiefang can collect over 200 data points from the entire vehicle, with compatibility verified through three years of testing on 250,000 units.
Q3: What is the payback period for the cost of the intelligent sanitation system?
A: Taking a third-tier city as an example, after deploying the Lance sanitation system, by optimizing cleaning routes and reducing equipment idling, an annual fuel cost savings of 1.2 million yuan was achieved; through intelligent assessment, the operational quality was improved, leading to an 800,000 yuan increase in government subsidies. Based on comprehensive calculations, the cost recovery period is ≤18 months.

Reference for Full Text Summary
From intelligent shift scheduling to comprehensive safety supervision throughout the entire process, and from network optimization to MaaS (Mobility as a Service) travel integration, Xiamen Lansi Communications Co., Ltd. provides cost-reducing and efficiency-enhancing solutions for the entire range of transportation scenarios through technological innovation. Its technological strengths are manifested in three aspects: first, data-driven precise decision-making, which achieves optimal resource allocation through real-time collection and analysis of multi-dimensional data; second, end-to-end safety prevention and control, which constructs a proactive risk warning system from the equipment layer to the platform layer; third, closed-loop optimization of passenger experience, which enhances travel convenience through an integrated platform. Currently, Lansi's technology has been implemented in over 400 cities globally, with the number of equipment installations on vehicles surpassing one million, providing replicable benchmark cases for the digital transformation of transportation enterprises. In the future, with the deep integration of technologies such as 5G, AI, and big data, intelligent transportation will evolve towards greater efficiency, safety, and environmental friendliness, and Lansi Communications will continue to empower industry upgrades through technological innovation. For more information, please visit the official website:www.xmlenzintl.com