近港集疏运道路货运集卡分时畅行策略仿真*
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上海市科委科研计划项目(20dz1203000);上海市交通委课题(JT2021-KY-004)


Simulation of container trucks’time-sharing strategies applied on near-port collection and distribution roads
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    摘要:

    随着国际贸易的快速发展,各大港口集装箱吞吐量快速增长。集装箱吞吐量的快速上升使得各大港口集疏运能力出现瓶颈,导致集疏运道路产生交通拥堵及交通事故等问题。针对上述问题,结合洋山港区集疏运道路环境、港外集疏运中心建设方案等因素,提出集卡预约系统、智能集卡编队等分时畅行策略。基于洋山港区集疏运道路现状进行远期流量预测,模拟了远期流量场景和专用车道场景,采用SUMO作为仿真软件对两类场景下分时畅行策略应用效果进行验证。仿真结果表明,基于集卡预约系统策略,远期流量场景能够实现高峰小时不均匀系数降低25%,达到了较好的削峰填谷效果;基于智能集卡编队策略,专用车道场景可实现单车道饱和状态下平均小时通行能力提升98.1%,有效提升了集疏运通道通行能力。

    Abstract:

    With the rapid development of international trade,the container handling capacity of major ports is growing rapidly.The rapid increase in container handling capacity has caused bottlenecks in the collection and distribution roads of the major ports,resulting in traffic congestion and accidents.This study proposes time-sharing strategies such as the container truck appointment system and intelligent container truck platooning combined with the collection and distribution road environment in Yangshan Port and the construction scheme of the collection and distribution center outside the port.In this study,the future traffic flow is predicted based on the current road conditions in Yangshan Port.Then,the long-term traffic flow scenario and the specialized lane scenario are simulated,and the SUMO is used as the simulation software to verify the effectiveness of time-sharing strategies in the two scenarios.The simulation results show that,based on the strategy of the container truck appointment system,the non-equilibrium factor in the peak hour can be reduced by 25% in the long-term traffic flow scenario,and the objective of peak-load shifting is achieved.Based on the intelligent container truck platooning strategy,the average hourly traffic capacity is increased by 98.1% in one single lane in the specialized lane scenario,and thus the traffic capacity of the collection and distribution roads can be effectively improved.

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陆淼嘉,陈昊洋,张婧卿,等.近港集疏运道路货运集卡分时畅行策略仿真*[J].水运工程,2023(6):171-178.

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  • 在线发布日期: 2023-06-13
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