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An Automatic Vehicle Arrival Coordination System to Solve Complex Material Delivery Schedules at Construction Sites

Small and medium construction sites often face congestion and delays due to overlapping material delivery vehicles. This system predicts arrival times in real-time and automatically staggers schedules to reduce wait times and improve site efficiency.

IdeasConstruction Logistics
Published2026.03.14
Updated2026.03.14

Small and medium construction sites often face congestion and delays due to overlapping material delivery vehicles. This system predicts arrival times in real-time and automatically staggers schedules to reduce wait times and improve site efficiency.

Why This Idea

Small and medium construction sites suffer from severe bottlenecks when multiple delivery vehicles arrive simultaneously due to narrow access roads and limited unloading space. This leads to increased vehicle waiting costs and cascading delays in subsequent construction phases. With labor shortages and rising raw material costs, the need for site efficiency in the construction industry is at an all-time high. Furthermore, as government support and awareness of smart construction technologies spread, automation solutions are beginning to be adopted not only by large construction firms but also at small and medium-sized sites. A ‘Service Planner / PM’ to design the MVP scope and metrics-driven roadmap, a ‘Backend Engineer’ for real-time vehicle data integration and architecture design, and a ‘Frontend Engineer’ to build an easy-to-use mobile interface for site managers and drivers.

Why This Problem Must Be Solved

Unlike large infrastructure projects, small construction sites face severe spatial constraints. They often have only one access road and no extra space to stockpile materials. When multiple material vehicles (e.g., ready-mix concrete, rebar, interior fixtures) arrive simultaneously, it causes massive traffic jams and unloading delays. Statistics show that idle time due to vehicle queuing accounts for over 15% of total working hours on small sites. Previously, site managers relied on whiteboards or messengers for rough scheduling, but these methods fail to account for real-time variables like traffic or loading delays. Increased waiting times lead to demands for higher transportation fees, and large vehicles parked in narrow alleys generate complaints from local residents. Ultimately, this bottleneck causes overall project delays and cost overruns.

Why Now Is the Right Time

The construction industry is currently facing a severe labor shortage and soaring raw material costs, making time and cost reduction essential for survival. While large construction companies use in-house smart logistics systems, small and medium-sized firms still rely on manual processes. The proliferation of cloud-based software has created an environment where advanced solutions can be adopted without high initial costs. Moreover, smartphone GPS technology allows for real-time location tracking without complex equipment installations. Government voucher programs supporting digital transformation for SMEs have significantly lowered the barrier to entry. We are at an inflection point where small construction companies must adopt automated site management tools to survive.

The Change This Creates

This system connects site managers, material suppliers, and transport drivers on a single platform to smartly coordinate delivery schedules. Once a supplier inputs the departure time, the system analyzes the driver’s smartphone location and real-time traffic to predict the exact arrival time. If multiple vehicles are projected to arrive simultaneously, the system automatically determines priority (e.g., ready-mix concrete has a strict pouring time limit) and sends alerts instructing some vehicles to wait at nearby standby areas or adjust their departure times. Site managers can view a mobile dashboard displaying real-time locations and site congestion. As a result, vehicle waiting times are cut in half, and unloading proceeds smoothly, accelerating the overall construction process.

Why This Approach Works

Existing logistics systems focus on long-haul freight or warehouse inventory and fail to address the specific needs of construction sites. Our system provides a customized algorithm that factors in the unloading characteristics of different construction materials (e.g., crane requirements, time limits for concrete). Furthermore, it maximizes accessibility by allowing drivers to share their location and receive dispatch instructions via simple web links sent through SMS or messenger apps, avoiding complex app installations. As word-of-mouth spreads among site managers, the system can become a standard tool in a region, creating a strong network effect that naturally locks in material suppliers. Accumulating site-specific data from the start will build operational know-how that competitors cannot easily replicate.

How Far This Can Go

Initially, the system will target small and medium-sized villa and commercial building construction sites in the metropolitan area. Based on these success stories, it will expand to subcontracted sites of mid-sized construction companies. With hundreds of thousands of small projects annually in Korea, a SaaS subscription model offers substantial profitability. Once proven domestically, the solution can be exported to large cities in Japan or Southeast Asia, which have similar dense urban construction environments. Long-term, utilizing the accumulated material flow data, the platform has the immense potential to pivot into a ‘comprehensive construction material brokerage platform’ that predicts material needs, facilitates group purchasing, or enables trading of surplus materials between sites.

Service Flow

graph LR

  A[공급사 출발 입력] --> B[기사 위치 추적]

  B --> C[도착 시간 예측]

  C --> D{혼잡도 판단}

  D -- 혼잡 --> E[대기/일정 자동 조정]

  D -- 원활 --> F[현장 진입 안내]

  E --> G[현장 소장 모바일 확인]

  F --> G

Business Model

graph TD

  A[중소 건설사/현장] -->|구독료| B[일정 조율 플랫폼]

  C[자재 공급사] -->|스케줄 연동| B

  B -->|도착 예측/알림| A

  B -->|배차 최적화| C

  D[운송 기사] -->|위치 정보 제공| B

  B -->|대기 시간 감소| D

Tags: 건설물류, 스케줄링, 공정최적화, 자동화