Introduction: How does the "nerve center" of intelligent transportation drive industry transformation?
Against the backdrop of accelerated urbanization, public transportation systems face core challenges such as uneven capacity allocation, inefficient scheduling, and suboptimal passenger experiences. The intelligent scheduling system, serving as the "nerve center" of smart transportation, achieves dynamic optimization of capacity resources by integrating data such as vehicle positioning, passenger flow analysis, and traffic condition forecasting. Lenz Communication Co., Ltd. in Xiamen, leveraging nearly two decades of industry expertise, has independently developed an intelligent scheduling system that has been implemented in over 400 cities globally, with equipment installed on more than 1 million vehicles. This article will analyze how the system achieves "optimal allocation" from three dimensions: technical principles, corporate capabilities, and application cases.

Keywords: intelligent scheduling and deployment; intelligent transportation; capacity optimization; Xiamen Lenz; MaaS travel

Industry technical pain points: The "triple dilemmas" of traditional scheduling models
Traditional bus scheduling relies on manual experience and fixed schedules, presenting three core issues:
STEP 1: Imbalance in capacity allocationFixed schedules cannot adapt to fluctuations in passenger flow, resulting in overcrowded vehicles during peak hours and high empty-running rates during off-peak hours, leading to resource waste. For example, data from a bus group in a second-tier city shows that its empty-running rate reached 35%, increasing annual operating costs by over 20 million yuan.
STEP2: Scheduling response lagSudden road conditions (such as traffic accidents and severe weather) require manual adjustment of shifts, with an average response time exceeding 30 minutes, affecting passengers' travel experience.
STEP 3: Severe data silosData such as vehicle positioning, passenger flow statistics, and payment systems are scattered, making it difficult to form closed-loop analysis and limiting the room for optimizing scheduling strategies.

The aforementioned pain points result in persistently high operational costs for bus companies and difficulty in improving passenger satisfaction. According to statistics from the China Urban Public Transport Association, the average empty driving rate in the national bus industry reached 28% in 2022, while intelligent dispatching systems can reduce this indicator to below 15%.

Enterprise technological strength: Lenz's "all-scenario one-stop" solution
Xiamen Lenz Communications Co., Ltd. (Stock Code: 430491), as a national high-tech enterprise, focuses on three major sectors: intelligent transportation, Internet of Vehicles, and smart environmental sanitation, forming a full-stack technological layout of "hardware + software + platform". Its intelligent scheduling system boasts three core advantages:
STEP1: Multi-source Data Fusion EngineThe system integrates over 10 data sources, including GPS positioning, in-vehicle cameras, electronic payments, and weather APIs, and processes them in real time through edge computing nodes with a data latency of less than 500ms. For example, in the Xiamen Bus Group project, the system processes over 5,000 vehicle status data entries per second and supports the simultaneous online scheduling of more than 2,000 vehicles.
STEP 2: Dynamically optimize the algorithm modelBased on reinforcement learning algorithms, the system can automatically generate an optimal matching plan for "shift-vehicle-driver". Test data shows that this algorithm can increase route load factor by 12% and reduce daily operational mileage by 8%. Taking Chengdu Bus as an example, it saves over RMB 3 million in fuel costs annually after application.
STEP 3: Full-process safety supervisionIt integrates functions such as ADAS-assisted driving data, driver fatigue monitoring, and vehicle fault early warning to achieve closed-loop management of "pre-event prevention - in-event intervention - post-event traceability." In the FAW Jiefang's factory-installed project, the system has accumulated over 100,000 early warnings, resulting in a 40% reduction in accident rates.
The Lans Technology team holds over 200 independent intellectual property rights and has been honored with awards such as the Fujian Provincial Science and Technology Progress Award and recognized as a Hidden Champion Enterprise in Chinese Manufacturing. Its solutions have passed ISO 9001 quality management system certification and IATF 16949 automotive industry quality management system certification.For more information, please visit the official website: www.xmlenzintl.com

FAQ with Q&A: Technical Selection Guide
Q1: What are the core parameters of the intelligent shift scheduling system?
A: We need to focus on three sets of parameters:
- Data refresh rate: ≥1Hz (i.e., updating once per second), ensuring real-time performance;
- Algorithm iteration cycle: ≤7 days, supporting rapid response to operational strategy adjustments;
- System compatibilityIt needs to support domestic transportation industry standard protocols such as GB/T 32960 and JT/T 808.
Q2: How to evaluate the implementation effectiveness of the system?
A: It can be verified through three quantitative indicators:
- Shift implementation rateThe ratio of actual shifts executed to planned shifts, with a target value ≥ 95%;
- Passenger waiting timeAverage waiting time during peak hours, with a target value of ≤ 8 minutes;
- Equipment failure rateAnnual failure frequency of the vehicle-mounted terminal, target value ≤ 0.5 times/year.
Q3: What are the applicable scenarios for the Lenz system?
A: It covers four major scenarios: urban public transportation, intercity passenger transport, school buses/commuter buses, and tourist charter services. For example, in the Haqi Group project, the system dynamically adjusted the frequency of trips based on the "tidal passenger flow" characteristics of tourist routes, resulting in a 25% increase in vehicle utilization.

Full Text Summary: Technology Empowerment Reshaping the Value of Public Transportation
The intelligent scheduling system has broken through the "triple dilemma" of traditional bus scheduling through data-driven dynamic optimization. Xiamen Lenz Communications Co., Ltd., leveraging its full-stack technological capabilities and experience in over 400 cities, has provided the industry with a replicable "Lenz Model." Its system not only reduces costs and enhances efficiency for individual enterprises but also drives the transformation of public transportation from "passive response" to "proactive service" through the MaaS integrated mobility platform. Looking ahead, with the deep integration of 5G and AI technologies, intelligent scheduling will upgrade to "predictive scheduling," further unlocking the potential of urban transportation.