大家好我是Java1234_小锋老师分享一套锋哥原创的基于Spark实时交通流量分析与拥堵预测系统(Java版本可视化大屏KafkaSpringBootVue3)项目介绍随着城市化进程不断加快机动车保有量持续上升城市道路拥堵问题日益突出。传统交通管理系统多依赖人工巡查与事后统计难以对海量、高速产生的交通流数据进行实时感知与趋势研判导致调度决策滞后。为缓解上述问题本文设计并实现了一套“基于Spark实时交通流量分析与拥堵预测系统”。系统采用前后端分离架构前端基于Vue3、Vite、Element Plus与ECharts构建管理后台与可视化大屏后端基于Java 17与Spring Boot 3提供REST接口结合Spring Security与JWT完成管理员身份认证与权限控制数据层使用MySQL 8存储路段、流量、统计与预测结果持久层采用MyBatis-Plus实时链路引入Kafka作为交通事件消息中间件使用Apache Spark完成窗口聚合统计并基于Spark ML线性回归实现车流量预测与误差评估RMSE、MAE、MAPE。系统实现了管理员登录与个人中心、道路路段管理、交通流量查询、实时窗口统计、拥堵预测分析以及可视化大屏展示等功能。针对Kafka不可用场景系统提供纯Java写库降级策略保证演示与运行的鲁棒性。测试结果表明系统能够稳定完成交通事件采集、实时统计分析与拥堵趋势预测界面交互清晰数据展示及时满足本科毕业设计对完整性、可演示性与技术综合性的要求。源码下载链接: https://pan.baidu.com/s/1UpZs6bvGZxwXy9vhyCHqRQ?pwd1234提取码: 1234系统展示核心代码package com.java1234.controller; import com.java1234.common.PageResult; import com.java1234.common.Result; import com.java1234.dto.ErrorMetricOut; import com.java1234.dto.PredictionOut; import com.java1234.service.PredictionService; import org.springframework.web.bind.annotation.GetMapping; import org.springframework.web.bind.annotation.RequestMapping; import org.springframework.web.bind.annotation.RequestParam; import org.springframework.web.bind.annotation.RestController; import java.util.List; import java.util.Map; /** * 预测分析控制器 */ RestController RequestMapping(/api/prediction) public class PredictionController { private final PredictionService predictionService; public PredictionController(PredictionService predictionService) { this.predictionService predictionService; } /** * 分页查询预测结果 */ GetMapping(/list) public ResultPageResultPredictionOut list( RequestParam(defaultValue 1) int page, RequestParam(defaultValue 10) int size) { return Result.ok(predictionService.list(page, size)); } /** * 对比图表数据 */ GetMapping(/compare) public ResultListPredictionOut compare() { return Result.ok(predictionService.compare()); } /** * 最新误差指标 */ GetMapping(/error) public ResultErrorMetricOut error() { return Result.ok(predictionService.error()); } /** * 残差数据 */ GetMapping(/residual) public ResultListMapString, Object residual() { return Result.ok(predictionService.residual()); } }template div classpage-container div classpage-card div classpage-title车流量预测分析/div div classerror-cards div classerror-card div classmetric-labelRMSE (均方根误差)/div div classmetric-value{{ errorMetric.rmse }}/div /div div classerror-card div classmetric-labelMAE (平均绝对误差)/div div classmetric-value{{ errorMetric.mae }}/div /div div classerror-card div classmetric-labelMAPE (平均绝对百分比误差 %)/div div classmetric-value{{ errorMetric.mape }}%/div /div /div div refcompareRef classpred-chart pred-chart-compare/div div refresidualRef classpred-chart pred-chart-residual/div el-table :datatableData stripe border stylewidth:100% el-table-column propwindow_time label时间窗口 min-width170 template #default{ row }{{ formatWindowTime(row.window_time) }}/template /el-table-column el-table-column proptrue_flow label真实车流量 min-width130 template #default{ row } span stylecolor:#409eff;font-weight:600{{ row.true_flow }}/span /template /el-table-column el-table-column proppred_flow label预测车流量 min-width130 template #default{ row } span stylecolor:#67c23a;font-weight:600{{ row.pred_flow }}/span /template /el-table-column el-table-column label误差 min-width120 template #default{ row } span :style{ color: Math.abs(row.true_flow - row.pred_flow) 500 ? #f56c6c : #909399 } {{ (row.true_flow - row.pred_flow).toFixed(2) }} /span /template /el-table-column el-table-column propcreate_time label生成时间 min-width170 template #default{ row }{{ formatDateTime(row.create_time) }}/template /el-table-column /el-table el-pagination stylemargin-top:16px;justify-content:flex-end v-model:current-pagepage v-model:page-sizesize :totaltotal layouttotal, prev, pager, next changeloadTable / /div /div /template script setup /** * 车流量预测与误差分析页面 */ import { ref, onMounted, onUnmounted } from vue import * as echarts from echarts import request from /utils/request import { formatDateTime, formatWindowTime } from /utils/format const errorMetric ref({ rmse: 0, mae: 0, mape: 0 }) const tableData ref([]) const page ref(1) const size ref(10) const total ref(0) const compareRef ref(null) const residualRef ref(null) let charts [] function buildAxisLabel() { return { rotate: 30, interval: auto, hideOverlap: true, fontSize: 11, margin: 16, formatter(val) { const text formatWindowTime(val) if (text.length 16) return ${text.slice(0, 10)}\n${text.slice(11)} return text }, } } function initCompareChart(data) { const chart echarts.init(compareRef.value) const labels data.map(d formatWindowTime(d.window_time)) const pointCount data.length // 点数较多时缩小标记并开启缩放便于查看局部 const symbolSize pointCount 40 ? 5 : 8 chart.setOption({ title: { text: 真实车流量 vs 预测车流量 对比, left: center, textStyle: { fontSize: 15 } }, tooltip: { trigger: axis }, legend: { data: [真实车流量, 预测车流量], top: 32 }, toolbox: { feature: { dataZoom: { yAxisIndex: none }, restore: {} }, right: 16, top: 28 }, dataZoom: [ { type: inside, start: 0, end: 100 }, { type: slider, start: 0, end: 100, height: 18, bottom: 8 }, ], xAxis: { type: category, data: labels, axisTick: { alignWithLabel: true }, axisLabel: buildAxisLabel() }, yAxis: { type: value, name: 车流量(辆/h) }, series: [ { name: 真实车流量, type: line, smooth: true, data: data.map(d Number(d.true_flow)), itemStyle: { color: #409eff }, lineStyle: { width: 3 }, symbol: circle, symbolSize, areaStyle: { color: rgba(64,158,255,0.08) } }, { name: 预测车流量, type: line, smooth: true, data: data.map(d Number(d.pred_flow)), itemStyle: { color: #67c23a }, lineStyle: { width: 3, type: dashed }, symbol: diamond, symbolSize }, ], grid: { left: 20, right: 24, bottom: 52, top: 72, containLabel: true }, }) charts.push(chart) } function initResidualChart(data) { const chart echarts.init(residualRef.value) const labels data.map(d formatWindowTime(d.window_time)) const barWidth data.length 40 ? 10 : 20 chart.setOption({ title: { text: 预测残差分析 (真实值 - 预测值), left: center, textStyle: { fontSize: 15 } }, tooltip: { trigger: axis }, dataZoom: [ { type: inside, start: 0, end: 100 }, { type: slider, start: 0, end: 100, height: 18, bottom: 8 }, ], xAxis: { type: category, data: labels, axisTick: { alignWithLabel: true }, axisLabel: buildAxisLabel() }, yAxis: { type: value, name: 残差(辆/h) }, series: [{ type: bar, data: data.map(d ({ value: d.residual, itemStyle: { color: d.residual 0 ? #409eff : #f56c6c } })), barWidth }], grid: { left: 20, right: 24, bottom: 52, top: 56, containLabel: true }, }) charts.push(chart) } async function loadData() { const [errorRes, compareRes, residualRes] await Promise.all([ request.get(/prediction/error), request.get(/prediction/compare), request.get(/prediction/residual), ]) errorMetric.value errorRes.data charts.forEach(c c.dispose()) charts [] initCompareChart(compareRes.data) initResidualChart(residualRes.data) } async function loadTable() { const res await request.get(/prediction/list, { params: { page: page.value, size: size.value } }) tableData.value res.data.items total.value res.data.total } onMounted(() { loadData(); loadTable() }) onUnmounted(() charts.forEach(c c.dispose())) /script style scoped .pred-chart { width: 100%; margin-bottom: 24px; } .pred-chart-compare { height: 480px; } .pred-chart-residual { height: 420px; } /style