The benefits of travel reservation in urban road based on microscopic traffic simulation

WANG Lingli; HUANG Min; XUE Tianli; LI Yetao

doi:10.13471/j.cnki.acta.snus.2022B019

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The benefits of travel reservation in urban road based on microscopic traffic simulation

Research articles | 更新时间：2023-11-01

- The benefits of travel reservation in urban road based on microscopic traffic simulation
- Acta Scientiarum Naturalium Universitatis Sunyatseni Vol. 61, Issue 6, Pages: 89-98(2022)
- 作者机构：
  
  中山大学智能工程学院 / 广东省智能交通系统重点实验室，广东广州 510006
- 作者简介：
- 基金信息：
- DOI：10.13471/j.cnki.acta.snus.2022B019
  CLC： U491
- Published：25 November 2022，
  
  Published Online：07 May 2022，
  
  Received：02 March 2022，
  
  Accepted：21 March 2022
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王灵丽,黄敏,薛田莉等.基于微观交通仿真的道路预约出行效益研究[J].中山大学学报(自然科学版),2022,61(06):89-98.

WANG Lingli,HUANG Min,XUE Tianli,et al.The benefits of travel reservation in urban road based on microscopic traffic simulation[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2022,61(06):89-98.
王灵丽,黄敏,薛田莉等.基于微观交通仿真的道路预约出行效益研究[J].中山大学学报(自然科学版),2022,61(06):89-98. DOI： 10.13471/j.cnki.acta.snus.2022B019.

WANG Lingli,HUANG Min,XUE Tianli,et al.The benefits of travel reservation in urban road based on microscopic traffic simulation[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2022,61(06):89-98. DOI： 10.13471/j.cnki.acta.snus.2022B019.

摘要

针对预约出行效益，开发了基于SUMO的城市道路预约出行仿真平台。该平台以真实出行需求作为非预约车流输入，利用基于A*算法的实时路径规划算法为预约车辆规划路径，实现预约机制下的真实路网交通运行情景模拟。基于该仿真平台，研究了预约车辆与非预约车辆混行情景下的个体层面和系统层面的出行效益变化。仿真实验结果显示：（1）预约出行能够大大缓解道路交通拥堵状况；（2）随着预约出行率的上升，出行效益提高，但总体增幅呈减小趋势；（3）重点对途径瓶颈路段规律出行群体和远距离出行群体推广出行预约，能够实现出行效益的大幅度提升。

Abstract

A simulation platform for travel reservation in urban road based on SUMO is developed to explore the change of traffic benefit brought by travel reservation. In order to realize the simulation of real traffic operation scenario under the reservation mechanism， the simulation platform takes real travel demand as the input of non-reserved traffic flow， and uses the real-time path planning algorithm based on A* algorithm to plan the path for reserved vehicles. Based on the simulation platform， the change of travel benefits at individual level and system level in the case of mixed driving between reserved vehicles and non-reserved vehicles is studied. Simulation results show that：（1） travel reservation can greatly alleviate traffic congestion；（2） with the increase of reservation rate， travel benefits increase， but their overall growth trend decrease；（3） promoting travel reservation for key promotion objects which include group passing regularly through the bottleneck and group traveling long distances， travel efficiency can be greatly improved.

关键词

智能交通系统预约出行交通仿真出行效益

Keywords

intelligent transportation systemtravel reservationtraffic simulationtravel benefits

references

LEVIN M. Congestion-aware system optimal route choice for shared autonomous vehicles［J］. Transportation Research Part C，2017，82：229-247.

龙建成，郭嘉琪.动态交通分配问题研究回顾与展望［J］.交通运输系统工程与信息，2021，21（5）：125-138.

《中国公路学报》编辑部.中国汽车工程学术研究综述·2017［J］.中国公路学报，2017，30（6）：1-197.

郭继孚，刁晶晶，王倩，等.预约在城市交通中的应用——北京市回龙观地区的预约出行实践［J］.城市交通，2020，18（1）：75-82.

郭继孚，张建波，孙建平.大规模网联车辆协同服务研究进展［J］.中国基础科学，2021，23（1）：45-50.

郭继孚，刁晶晶，缐凯，等.预约出行模式展望［J］.交通运输系统工程与信息，2021，21（5）：160-164+173.

ZHAO Y， TRIANTIS K， EDARA P. Evaluation of travel demand strategies： A microscopic traffic simulation approach［J］. Transportation，2010，37（3）：549-571.

MENELAOU C， KOLIOS P， TIMOTHEOU S， et al. Controlling road congestion via a low-complexity route reservation approach［J］. Transportation Research Part C，2017，81：118-136.

EDARA P， TEODOROVIĆ D. Model of an advance-booking system for highway trips［J］. Transportation Research Part C，2007，16（1）：36-53.

罗杰超. 出行预约模式在节假日高速公路场景的应用方法研究［D］.广州：华南理工大学，2019.

徐鹏展，艾云飞，耿丹阳，等.高速公路预约出行模式研究［J］.公路， 2020 ， 65（7）：211-216.

SU P， PARK B， LEE J， et al. Proof-of-concept study for a roadway reservation system： Integrated traffic management approach［J］. Transportation Research Record，2013（2381）：1-8.

LIU W， YANG H， YIN Y F. Efficiency of a highway use reservation system for morning commute［J］. Transportation Research Part C，2015，56：293-308.

MENELAOU C，TIMOTHEOU S，KOLIOS P，et al. Minimizing traffic congestion through continuous-time route reservations with travel time predictions［J］. IEEE Transactions on Intelligent Vehicles，2019，4（1）：141-153.

MÁNUEL G， BALÁZS V， TAMÁS T， et al. Investigating the impacts of urban speed limit reduction through microscopic traffic simulation［J］. Communications in Transportation Research，2021（1）：100018.

吴志林. 基于数据驱动的实时路况估计方法研究及系统开发［D］.武汉：武汉理工大学， 2018.

黄敏，王灵丽，李轶. 一种基于行程时间估计的车辆出行路径重构方法：中国，10254452.2 ［P］.2021-07-20.

孙娜. 基于多源数据的城市道路网络评价研究［D］.长沙：长沙理工大学，2018.

QU S X. Research on dynamic route guidance system based on comparison of shortest path algorithms［J］. International Core Journal of Engineering，2020，6（12）： 135-140.

谷健. 基于RFID数据的城市交通流动态路径诱导研究［D］.南京：东南大学，2017.

HU X B， CHIU Y C， ZHU L. Behavior insights for an incentive-based active demand management platform［J］. International Journal of Transportation Science and Technology，2015，4（2）：119-133.

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Related Institution

School of Engineering∥Guangdong Provincial Key Laboratory of Intelligent Transportation System, Sun Yat-sen University

School of Intelligent Systems Engineering, Sun Yat-sen University

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