Chinese Journal of Intelligent Science and Technology ›› 2021, Vol. 3 ›› Issue (2): 161-171.doi: 10.11959/j.issn.2096-6652.202116
• Special Topic: Intelligent Transportation Systems and Applications • Previous Articles Next Articles
Shuai FENG1,2, Xiaoming LIU1
Revised:
2021-04-06
Online:
2021-06-15
Published:
2021-06-01
Supported by:
CLC Number:
Shuai FENG,Xiaoming LIU. A survey of research on demand responsive transit and its route optimization[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(2): 161-171.
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参考文献 | 问题特点 | 目标类型 | 优化目标 | 模型及求解算法 | 测试数据来源 |
[29] | 混合车型VRP问题 | 考虑企业运营成本 | 车辆运营里程最小和使用车辆最少 | DRT调度等价分解模型;分布式列生成算法 | 模拟预约系统 |
[30] | 单换乘点VRP问题 | 考虑企业运营成本 | 企业运营成本最小 | VRP模型;改进的遗传算法 | 仿真实验 |
[31] | 带有模糊时间窗的动态路径优化问题 | 考虑企业运营成本 | 企业运营成本最小 | 多目标模型;遗传算法和3个基本模块的策略 | Solomon数据集 |
[33] | 考虑乘客等待行为的DRT优化问题 | 考虑乘客服务质量 | 乘客满意度最高 | 数学模型;NSGA-II算法 | 随机生成算例 |
[34] | 同时服务预约需求和实时需求的VRP问题 | 同时考虑企业运营成本和乘客服务质量 | 乘客时间成本和企业运营成本最小 | DRT公交调度模型;模拟退火算法和启发式插入算法 | 仿真洛杉矶646路公交数据 |
[35] | 单车型DRT路径优化问题 | 同时考虑企业运营成本和乘客服务质量 | 车队总运行时间和因车辆提前或延迟到达降低的乘客服务水平最小 | VRP模型;禁忌搜索算法 | 在山东建筑大学区域进行仿真实验 |
[36] | 两个区域的支线运输服务的最佳设计 | 同时考虑企业运营成本和乘客服务质量 | 乘客服务质量最高企业运营成本最小 | 连续逼近系统分析模型;插入启发式算法 | 仿真实验 |
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参考文献 | 问题特点 | 主要约束 | 优化目标 | 模型及求解算法 | 测试数据来源 |
[37] | 灵活型公交VRP调度问题 | 车载容量约束 | 车辆的运行时间和乘客出行时间最短 | 灵活型公交VRP调度模型;启发式算法 | 仿真案例 |
[38] | 静态DAR问题 | 车载容量约束 | 乘客服务质量最高,企业运营成本最小 | 混合整数线性规划模型;粒度禁忌搜索算法 | 其他文献数据 |
[39] | 需求响应运输服务优化问题 | 车载容量约束 | 总里程运营成本最小,乘客满意度最高 | 混合整数线性规划模型;改进的蝙蝠算法 | 南京案例 |
[40] | 高自由度响应式公交优化问题 | 车载容量约束 | 系统总收益最大 | 混合整数规划模型;元启发式算法 | 长沙地铁1号线尚双塘站 |
[41] | 考虑出行时间窗的 DRT 车辆调度问题 | 时间窗约束 | 多辆公交车总运营里程最短 | 调度优化模型;贪心算法和遗传算法 | 随机生成算例 |
[42] | DRT路径优化和车辆调度问题 | 时间窗约束 | 系统运营利润最大 | 优化模型;双遗传算法 | 随机生成算例 |
[43] | DRT系统设计问题 | 时间窗约束 | 时间窗最小 | DRT调度模型;启发式算法 | 洛杉矶DRT数据 |
[44] | 考虑乘客支付意愿的灵活路径公交系统优化问题 | 时间窗约束 | 系统总收益最大 | 实时随机型灵活公交运营系统模型;遍历方法和改进的禁忌搜索算法 | 广州87路公交数据 |
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参考文献 | 模型 | 求解算法 | 优化目标 | 数据来源 |
[62] | 单接驳点和多接驳点的 DRT 路径优化模型 | 改进后的禁忌搜索算法 | 乘客出行成本和公交运营成本最小,系统潜在客流吸引最大 | 北京某职住分离区域数据 |
[63] | 城市公交应急疏散VRP模型 | 精确算法和禁忌搜索算法 | 总疏散出行时间最短 | 长春中心区路网数据 |
[64] | 混合整数规划模型 | 改进的禁忌搜索算法 | 综合成本最小 | 某公司实际业务场景数据 |
[65] | 取送一体化VRP模型 | 禁忌搜索启发式算法 | 服务总成本最小 | 设计算例 |
[66] | 需求响应接驳公交线路优化模型 | 混合模拟退火算法 | 乘客出行成本和公司运营成本最小,同时满足最大乘客定制需求 | 设计算例 |
[67] | 混合需求条件下的线路协调优化模型 | 模拟退火算法 | 系统总费用最低 | 设计算例 |
[68] | 以车站数量和位置均衡为优化目标的灵活车站模型 | 模拟退火算法 | 运营成本最小,乘客出行时间最短 | 调查问卷数据 |
[69] | 考虑企业运营成本和可靠性的优化模型 | 基于遗传算法的优化算法 | 车辆可变成本和固定成本之和最小 | 设计算例 |
[70] | DRT多停车场多车辆VRP模型 | 基于遗传算法的三段式混合编码方式方法 | 运营总里程最小 | 兰州城关区部分交通网络数据 |
[71] | 基于共享汽车的最佳DRT模型 | 基于遗传算法的两阶段启发式算法 | 总旅行时间最短 | 重庆案例研究 |
[72] | 乘客需求可拆分的优化模型 | 蚁群优化算法 | DRT网络覆盖率最大,车辆总收益最大 | 成都定制公交系统 |
[73] | DAR优化模型 | 蚁群优化算法 | 车队规模最大 | 仿真数据 |
[74] | 组合VRP模型 | 改进的粒子群优化算法 | 合乘出租司机收益最大,乘客服务率最高,乘客费用最低 | 仿真数据 |
[75] | 两阶段调度优化模型 | 改进的粒子群优化算法 | 乘客出行成本与运营成本之和最小 | 陕西省西咸新区272路公交数据 |
[76] | 协同组合优化模型 | 改进的混合粒子群优化算法 | 企业成本最小 | 汕尾东部地区至火车站实例 |
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