阜新市车辆调度数据

通过调度后首个订单间隔、24小时订单数及调度合理性等指标，综合评估每次车辆搬运的效果，实现量化管理。通过分析高SES值的时空分布，优化投放策略；同时支持调度路径分析，优先选择距离短、成效高的搬运路线，降低无效运输成本。系统还可设置预警机制，当实际评分显著低于预期时触发提醒，实现过程监控与问题追溯；该数据集合可为共享出行平台提供运力调度优化参考，为城市交通管理部门输出热点区域与时段的出行趋势分析，也可为物流、电单车运营等企业提供数据驱动的调度决策支持。不仅提升企业内部调度效率与自动化水平，还可作为标准化评估工具，助力上下游企业协同优化资源配置，推动运营精细化与智能化发展。用调度有效性可以得到区域用车需求，调度有效性评分综合越高的区域，对于调动后的区域用车的需求旺盛，可以衍生出对公共交通的需求旺盛，为公共交通服务提供者分布公交交通的疏密以及公共交通的频率做决策复制。1.数据采集：记录每次车辆调度任务的相关信息，包括：服务区、车辆编号、设备号、工单编号、运维人员ID、起始地点、投放地点、调度距离（米）、调度开始时间、调度结束时间、调度后首个订单间隔（分钟）、调度后24小时订单数。2.数据处理：对采集的原始数据进行清洗，剔除缺失值与异常记录。基于调度完成后的使用情况，计算关键指标：首个订单响应时间与24小时内订单数量。结合调度时间、空间距离与区域特征，评估调度行为的合理性。调度有效性评分 =首单响应得分+ 24小时订单数得分+合理性调整分。首单响应得分：反映车辆投放后被使用的速度。调度后首个订单间隔≤5（分钟）：首单响应得分得50分；5＜调度后首个订单间隔在≤15（分钟）：首单响应得分得40分；15＜调度后首个订单间隔在≤30（分钟）：首单响应得分得30分；30＜调度后首个订单间隔在≤60分钟：首单响应得分得20分；60＜调度后首个订单间隔在≤120分钟：首单响应得分得10分；调度后首个订单间隔>120分钟：首单响应得分得0分。24小时订单数得分：衡量车辆在目标区域的使用强度。24小时订单数≥10（单）：24小时订单数得分得50分；7≤24小时订单数≤9（单）：24小时订单数得分得40分；5≤24小时订单数≤6（单）：24小时订单数得分得30分；3≤24小时订单数≤4（单）：24小时订单数得分得20分；1≤24小时订单数≤2（单）：24小时订单数得分10分；24小时订单数为0单：24小时订单数得分得0分。合理性调整分:起止点同服务区且距离<500米：合理性调整分-5分（短距无效调度）；调度距离>5km且首单>60分钟：合理性调整分-5分（远距未见效）；调度时间开始在12:00后调度时间在14:00前的，且订单少于3个订单：合理性调整分-5分。3. 根据调度有效性评分进行调度效果判定：调度有效性评分≥80分：评为有效调度；调度有效性评分在60–79分（含60）：评为基本有效；调度有效性评分在40–59分（含40）：评为低效调度；调度有效性评分<40分：评为无效调度。

Comprehensively evaluate the effectiveness of each vehicle dispatching operation through indicators such as the interval to the first order after dispatching, the number of orders within 24 hours, and dispatching rationality, to achieve quantitative management. Optimize vehicle deployment strategies by analyzing the spatiotemporal distribution of high SES values; meanwhile, support dispatching route analysis to prioritize short-distance and high-efficiency delivery routes, thereby reducing invalid transportation costs. The system also supports setting up an early warning mechanism that triggers reminders when the actual score is significantly lower than expected, enabling process monitoring and problem tracing. This dataset can provide references for fleet dispatching optimization for ride-hailing platforms, output travel trend analysis of hotspots and peak hours for urban traffic management departments, and offer data-driven decision support for dispatching operations to enterprises such as logistics and e-bike operators. It not only improves the dispatching efficiency and automation level within enterprises, but also serves as a standardized evaluation tool to help upstream and downstream enterprises collaboratively optimize resource allocation and promote refined and intelligent operational development. Regional vehicle demand can be derived from dispatching effectiveness: the higher the comprehensive dispatching effectiveness score of a region, the stronger the vehicle demand in that region after dispatching, which can further indicate strong public transport demand, providing decision-making basis for public transport service providers to arrange bus route density and adjust public transport frequencies.

1. Data Collection: Record relevant information of each vehicle dispatching task, including: service area, vehicle number, equipment ID, work order ID, operation and maintenance personnel ID, starting location, deployment location, dispatching distance (meters), dispatching start time, dispatching end time, interval to the first order after dispatching (minutes), number of orders within 24 hours after dispatching.

2. Data Processing: Clean the collected raw data by removing missing values and abnormal records. Calculate key indicators based on the usage status after dispatching is completed: first order response time and the number of orders within 24 hours. Evaluate the rationality of dispatching behavior by combining dispatching time, spatial distance and regional characteristics. The dispatching effectiveness score is calculated as: first order response score + 24-hour order count score + rationality adjustment score.

First order response score: reflects the speed at which the deployed vehicle is used. The scoring rules are as follows:
- 50 points if the interval to the first order after dispatching ≤ 5 minutes;
- 40 points if 5 < interval ≤15 minutes;
- 30 points if 15 < interval ≤30 minutes;
- 20 points if 30 < interval ≤60 minutes;
- 10 points if 60 < interval ≤120 minutes;
- 0 points if the interval >120 minutes.

24-hour order count score: measures the usage intensity of vehicles in the target area. The scoring rules are as follows:
- 50 points if the number of orders within 24 hours ≥10;
- 40 points if 7 ≤ number of orders ≤9;
- 30 points if 5 ≤ number of orders ≤6;
- 20 points if 3 ≤ number of orders ≤4;
- 10 points if 1 ≤ number of orders ≤2;
- 0 points if the number of orders within 24 hours is 0.

Rationality adjustment score:
- -5 points if the start and end points are within the same service area and the distance <500 meters (short-distance invalid dispatching);
- -5 points if the dispatching distance >5km and the first order interval >60 minutes (long-distance dispatching with no effective usage);
- -5 points if the dispatching starts between 12:00 and 14:00 and the number of orders is less than 3.

3. Dispatching Effect Judgment based on Dispatching Effectiveness Score:
- Valid dispatching: score ≥80;
- Basically valid dispatching: 60 ≤ score ≤79;
- Low-efficiency dispatching: 40 ≤ score ≤59;
- Invalid dispatching: score <40.

搜集汇总

背景与挑战

背景概述

该数据集为阜新市车辆调度数据，包含548条记录，每日更新，涵盖车辆编号、调度距离、时间及有效性评分等17个字段，用于评估调度效果和优化运营策略。通过算法规则计算调度有效性，支持共享出行平台和城市交通管理，实现量化管理和成本降低。