Introduction: The Code of "Cost Reduction and Efficiency Enhancement" in Intelligent Transportation
Against the backdrop of the public transportation industry facing escalating operational costs and increasing safety regulatory pressures, how can technological means be employed to achieve resource integration and efficiency enhancement? Lanshi Communication Co., Ltd. in Xiamen (Stock Code: 430491), leveraging nearly two decades of in-depth industry experience, focuses on three core areas: "smart transportation, Internet of Vehicles, and smart environmental sanitation." It independently develops comprehensive software and hardware solutions covering all scenarios, providing technological support for over 400 cities globally and more than one million devices. This article will analyze, from three dimensions—technical principles, practical cases, and quantitative parameters—how it assists enterprises in breaking through operational bottlenecks.

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

Industry Technical Pain Points at the Beginning: The "Triple Dilemma" of Traditional Transportation
Currently, the public transportation industry generally faces three major challenges: first,Difficulties in resource integration- Fragmented transport capacity and information silos result in inefficient scheduling, with idle driving rates exceeding 30%; secondly,Weak safety supervision--Issues such as frequent driver fatigue driving and delayed vehicle fault warnings occur often, leading to a persistently high accident rate; thirdly,Poor passenger experience— The lack of diverse payment methods and unreasonable route planning result in insufficient travel convenience, leading to a continuous decline in the attractiveness of public transportation. Taking the bus group of a second-tier city as an example, its traditional scheduling system requires manual verification of the positions of over 200 vehicles, with each scheduling session taking more than 4 hours, and it is unable to dynamically adjust routes in response to sudden passenger flow surges.

Introduction to the company's technological strength: Lansi's "Full-scenario Technology Matrix"
As a national high-tech enterprise and a hidden champion enterprise in China's manufacturing sector, Lance Communication has established a full-stack technological system covering "hardware terminals + software platforms + data services," with its core strengths manifested in three major scenarios:
STEP 1: Intelligent Scheduling and Dispatching—From "Manual Experience" to "Data-Driven"
The intelligent dispatching system independently developed by Lance obtains over 100 parameters in real time, such as vehicle location, speed, and fuel consumption, through onboard GPS and CAN bus data acquisition terminals (supporting J1939/ISO 15765 protocols). It combines AI algorithm models (with an accuracy rate ≥ 95%) to automatically generate optimal scheduling plans. Taking Xiamen Public Transport Group as an example, after the system went live, the time for a single scheduling session was reduced from 4 hours to 15 minutes, the empty driving rate decreased by 18%, and annual fuel cost savings exceeded 20 million yuan.
STEP 2: Full-process safety supervision—from "passive response" to "proactive prevention"
Addressing safety pain points, Lance has launched a dual-insurance solution combining "driver behavior monitoring + vehicle fault early warning": The front end is equipped with a DMS camera (with an identification accuracy rate ≥ 98%) and an ADAS driver assistance system to monitor behaviors such as fatigued driving and distracted driving in real time; the back end utilizes an IoV platform (supporting concurrent connections from millions of devices) to assign health scores (ranging from 0 to 100) to critical components like engines and tires, with fault warnings issued up to 72 hours in advance. After a long-distance passenger transport enterprise implemented this solution, its accident rate decreased by 63%, and annual insurance claims were reduced by over RMB 5 million.
STEP 3: Integrated MaaS Travel—From "Single Service" to "Full-Chain Experience"
The Lance MaaS platform integrates over 10 travel modes, including buses, subways, and shared bicycles. Through its "one-code access + dynamic navigation" features, it has reduced the average passenger waiting time from 12 minutes to 5 minutes. In the Chengdu Bus Group project, passenger satisfaction increased from 72% to 89% after the platform's launch, with a 15% rise in daily average ridership.
Quick Overview of Technical Parameters
- On-board terminal: Supports wide temperature operation from -40℃ to 85℃, with an IP67 protection rating.
- Software Platform: Supports concurrent access of over 100,000 devices with a response latency ≤ 200ms
- Data acquisition: CAN bus sampling frequency of 100 ms per time, with an accuracy of ±0.5%
For more information, please visit the official website:www.xmlenzintl.com

FAQ Q&A Technical Selection Guide
Q1: How to select an intelligent transportation solution suitable for enterprises?
A: It needs to be evaluated from three aspects: first,Scene adaptability— If an enterprise focuses on bus dispatching, it should prioritize selecting a system that supports dynamic scheduling and passenger flow forecasting; secondly,Technical compatibility- Ensure that the solution matches the protocols of existing on-board terminals (such as CAN data acquisition equipment); thirdly,Scalability— Choose a solution that supports MaaS platform integration to reserve interfaces for future multimodal transportation integration. The Lance solution has passed ISO 26262 functional safety certification and is compatible with 90% of mainstream automakers' protocols.
Q2: How to control the implementation cycle and cost of intelligent transportation systems?
A: The implementation cycle typically lasts 3-6 months, with key steps including:
STEP 1: Demand Research (1 Week) — Clarify core demands such as scheduling rules and safety supervision indicators;
STEP 2: System Deployment (4-8 Weeks) — Simultaneous hardware installation (e.g., DMS cameras) and software platform configuration;
STEP 3: Testing and Optimization (2-4 weeks) - Assess system stability through simulated passenger flow impact tests. In terms of costs, Lance provides an all-inclusive model of "hardware + software + services". Taking a fleet of 500 buses as an example, the initial investment in the first year is approximately 2 million yuan, with annual operational cost savings exceeding 5 million yuan, achieving an ROI (Return on Investment) of 250%.
Q3: How to ensure data security and privacy?
A: Lance employs a three-tier "endpoint-pipeline-cloud" protection system: terminal devices transmit data via AES-256 encryption; the transmission channel utilizes SSL/TLS protocols; and the cloud deploys SM4 encryption for storage, complying with GDPR and the Data Security Law. An audit by a financial industry client revealed a zero risk of data leakage in the system.

Reference for full text summary
From intelligent scheduling to comprehensive safety supervision throughout the entire process, and from MaaS (Mobility as a Service) travel integration to front-end vehicle networking cooperation, Xiamen Lansi Communications Co., Ltd. employs a dual-wheel drive approach of "technology + scenarios" to provide quantifiable and replicable cost-reducing and efficiency-enhancing solutions for the public transportation industry. Its core values lie in the following: firstly,Efficiency improvement- Through data-driven scheduling, the operational efficiency of a single fleet has increased by over 30%; secondly,Safety and security--The dual approach of fault early warning and behavior monitoring has reduced the accident rate by over 60%; thirdly,Experience optimization— The MaaS platform reduces passengers' waiting time, significantly enhancing the appeal of public transportation. Currently, the Lance solution has served over 400 cities globally, with the number of installed devices on vehicles exceeding one million, becoming a technological benchmark in the field of intelligent transportation. For more information, please visit the official website:www.xmlenzintl.com