计算机科学 ›› 2020, Vol. 47 ›› Issue (5): 181-189.doi: 10.11896/jsjkx.190400031

• 人工智能 • 上一篇    下一篇

自动驾驶出租车调度系统研究综述

曾伟良, 吴淼森, 孙为军, 谢胜利   

  1. 广东工业大学自动化学院 广州510006
  • 收稿日期:2019-04-04 出版日期:2020-05-15 发布日期:2020-05-19
  • 通讯作者: 孙为军(14341569@qq.com)
  • 作者简介:weiliangzeng@gdut.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(61803100,61703112,61773128);广东省自然科学基金资助项目(2014A030308009);广东省科技计划项目(2013B091300009,2014B090907010,2015B010131014,2016B030308001,2017B010125002,2019B010118001,2019B010121001)

Comprehensive Review of Autonomous Taxi Dispatching Systems

ZENG Wei-liang, WU Miao-sen, SUN Wei-jun, XIE Sheng-li   

  1. School of Automation,Guangdong University of Technology,Guangzhou 510006,China
  • Received:2019-04-04 Online:2020-05-15 Published:2020-05-19
  • About author:ZENG Wei-liang,born in 1986,Ph.D,associate professor.His main research interests include routing problem in complex network,traffic simulation,and big data visualization for smart city.
    SUN Wei-jun,born in 1975,Ph.D,is a member of China Computer Federation.His main research interests include internet of thing and machine learning.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61803100,61703112,61773128),Natural Science Foundation of Guangdong Province,China (2014A030308009) and Science and Technology Planning Project of Guangdong Province,China (2013B091300009,2014B090907010,2015B010131014,2016B030308001,2017B010125002,2019B010118001,2019B010121001).

摘要: 人工智能和大数据科学的发展带来了新一代产业革命。基于人工智能、大数据、车联网等技术的自动驾驶出租车调度系统将成为下一代交通系统的重要组成部分。文中从车联网环境下的自动驾驶调度系统的数学建模问题和系统构建两个方面对现有的文献进行了梳理和讨论。针对乘客出行需求的动态不确定性的共享问题,着重讨论了自动驾驶出租车在不同路径共享模式下的路径规划,以及共享合乘定价和智能调度系统构建的关键技术。最后,总结了自动驾驶出租车在解决交通拥堵和减少资源浪费方面的优势,并指出了自动驾驶出租车系统的技术难点和发展趋势。

关键词: 大数据, 调度系统, 动态共享, 合乘定价, 路径规划, 自动驾驶

Abstract: The development of artificial intelligence and big data science has brought about a new generation of industrial revolution.Autonomous taxi dispatching systems based on artificial intelligence,big data,and connected vehicle technology will definitely be one of the most important components of the next generation transportation system.The existing literatures are reviewed and discussed through two aspects of scheduling modeling and system construction problem of the autonomous taxi dispatching system.Particularly,the critical dispatching problems on the sharing modes,sharable routing planning,and pricing strategy for a dynamic and sharable dispatching scheme are discussed.Finally,the advantages of autonomous taxis such as alleviating traffic congestion and reducing resource waste are summarized.The technical difficulties and development prospects of the future auto-nomous taxi system are pointed out.

Key words: Autonomous vehicle, Big data, Dispatching system, Dynamic sharing, Multiplication pricing, Path planning

中图分类号: 

  • TP391
[1]BERGER C.From a competition for self-driving miniature cars to a standardized experimental platform:concept,models,architecture,and evaluation[J].arXiv:1406.7768,2014.
[2]CAO P,HU Y,MIWA T,et al.An optimal mandatory lanechange decision model for autonomous vehicles in urban arterials[J].Journal of Intelligent Transportation Systems,2017,21(4):271-284.
[3]AN K H,HAN W Y.Autonomous vehicle driving system and method:U.S.Patent Application 10/235,885[P].2019-3-19.
[4]LI L,OTA K,DONG M.Humanlike driving:empirical decision-making system for autonomous vehicles[J].IEEE Transactions on Vehicular Technology,2018,67(8):6814-6823.
[5]DJURIC N,RADOSAVLJEVIC V,CUI H,et al.Motion prediction of traffic actors for autonomous driving using deep convolutional networks[J].arXiv:1808.05819,2018.
[6]HEINRICHS H.Sharing economy:a potential new pathway to sustainability[J].GAIA-Ecological Perspectives for Science and Society,2013,22(4):228-232.
[7]DIAL R B.Autonomous dial-a-ride transit introductory over-view[J].Transportation Research Part C:Emerging Technologies,1995,3(5):261-275.
[8]SHAHEEN S A,COHEN A P.Carsharing and personal vehicle services:worldwide market developments and emerging trends[J].International Journal of Sustainable Transportation,2013,7(1):5-34.
[9]FAGNANT D J,KOCKELMAN K M.The travel and environmental implications of shared autonomous vehicles,using agent-based model scenarios[J].Transportation Research Part C:Emerging Technologies,2014,40:1-13.
[10]LEE D H,WANG H,CHEU R L,et al.Taxi dispatch system based on current demands and real-time traffic conditions[J].Transportation Research Record,2004,1882(1):193-200.
[11]ZHANG D,HE T,LIN S,et al.Online cruising mile reduction in large-scale taxicab networks[J].IEEE Transactions on Parallel and Distributed Systems,2015,26(11):3122-3135.
[12]MIAO F,HAN S,LIN S,et al.Data-Driven Robust Taxi Dispatch Under Demand Uncertainties[J].IEEE Transactions on Control Systems Technology,2017(99):1-17.
[13]ZHANG D,HE T,LIN S,et al.Dmodel:Online taxicab demand model from big sensor data in a roving sensor network[C]//2014 IEEE International Congress on Big Data.IEEE,2014:152-159.
[14]BALAN R K,NGUYEN K X,JIANG L.Real-time trip informa-tion service for a large taxi fleet[C]//Proceedings of the 9th International Conference on Mobile Systems,Applications,and Services.ACM,2011:99-112.
[15]ASIF M T,DAUWELS J,GOH C Y,et al.Spatiotemporal patterns in large-scale traffic speed prediction[J].IEEE Transactions on Intelligent Transportation Systems,2014,15(2):794-804.
[16]MACIEJEWSKI M,BISCHOFF J,NAGEL K.An assignment-based approach to efficient real-time city-scale taxi dispatching[J].IEEE Intelligent Systems,2016,31(1):68-77.
[17]NOURINEJAD M,RAMEZANI M.Developing a large-scaletaxi dispatching system for urban networks[C]//2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).IEEE,2016:441-446.
[18]YUAN N J,ZHENG Y,ZHANG L,et al.T-finder:A recommender system for finding passengers and vacant taxis[J].IEEE Transactions on Knowledge and Data Engineering,2013,25(10):2390-2403.
[19]WANG Y,LIANG B,ZHENG W,et al.The development of a smart taxicab scheduling system:A multi-source data fusion perspective[C]//2016 IEEE 16th International Conference on Data Mining (ICDM).IEEE,2016:1275-1280.
[20]JUNG J,JAYAKRISHNAN R,PARK J Y.Dynamic shared-taxi dispatch algorithm with hybrid-simulated annealing[J].Computer-Aided Civil and Infrastructure Engineering,2016,31(4):275-291.
[21]VERMA S K,VO H T.A predictive taxi dispatching system for improved user satisfaction and taxi utilization[C]//2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity).IEEE,2015:175-182.
[22]XING X,WARDEN T,NICOLAI T,et al.Smize:a spontaneous ride-sharing system for individual urban transit[C]//German Conference on Multiagent System Technologies.Springer,Berlin,Heidelberg,2009:165-176.
[23]KUMMEL M,BUSCH F,WANG D Z W.Framework for automated taxi operation:The family model[J].Transportation Research Procedia,2017,22:529-540.
[24]BISCHOFF J,MACIEJEWSKI M.Simulation of city-wide re-placement of private cars with autonomous taxis in Berlin[J].Procedia computer science,2016,83:237-244.
[25]LLORCA C,MORENO A T,MOECKEL R.Effects of shared autonomous vehicles on the level of service in the greater Munich metropolitan area[R].Transportation Research Procedia.Munich,2017.
[26]MACIEJEWSKI M,SALANOVA J M,BISCHOFF J,et al.Large-scale microscopic simulation of taxi services.Berlin and Barcelona case studies[J].Journal of Ambient Intelligence and Humanized Computing,2016,7(3):385-393.
[27]BISCHOFF J,MACIEJEWSKI M.Autonomous taxicabs in Berlin-a spatiotemporal analysis of service performance[J].Transportation Research Procedia,2016,19:176-186.
[28]LIU Z,MIWA T,ZENG W,et al.Shared Autonomous TaxiSystem and Utilization of Collected Travel-Time Information[J].Journal of Advanced Transportation,2018,2018.
[29]VAZIFEH M M,SANTI P,RESTA G,et al.Addressing the minimum fleet problem in on-demand urban mobility[J].Nature,2018,557(7706):534.
[30]GUO S,LIU Y,XU K,et al.Understanding ride-on-demandservice:demand and dynamic pricing[C]//2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).IEEE,2017:509-514.
[31]WANG M,SHAN H,LU R,et al.Real-time path planningbased on hybrid-VANET-enhanced transportation system[J].IEEE Transactions on Vehicular Technology,2015,64(5):1664-1678.
[32]JUNG J,JAYAKRISHNAN R,CHOI K.Shared-taxi operations with electric vehicles[R]. Institute of Transportation Studies, University of California,Irvine,CA.Technical Report,2012.
[33]TAO C C.Dynamic taxi-sharing service using intelligent transportation system technologies[C]//2007 InternationalConfe-rence on Wireless Communications,Networking and Mobile Computing.IEEE,2007:3209-3212.
[34]CHEN T D,KOCKELMAN K M,HANNA J P.Operations of a shared,autonomous,electric vehicle fleet:Implications of vehicle &charging infrastructure decisions[J].Transportation Research Part A:Policy and Practice,2016,94:243-254.
[35]SILVA E,KOKKINOGENIS Z,CÁMARAÁ,et al.An exploratory study of taxi sharing schemas[C]//2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).IEEE,2016:247-252.
[36]AGATZ N,ERERA A L,SAVELSBERGH M W P,et al.Dynamic ride-sharing:A simulation study in metro Atlanta[J].Procedia-Social and Behavioral Sciences,2011,17:532-550.
[37]ALONSO-MORA J,SAMARANAYAKE S,WALLAR A,et al.On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment[J].Proceedings of the National Academy of Sciences,2017,114(3):462-467.
[38]DONG Y,WANG S,LI L,et al.An empirical study on travel patterns of internet based ride-sharing[J].Transportation research part C:Emerging Technologies,2018,86:1-22.
[39]MA S,ZHENG Y,WOLFSON O.Real-time city-scale taxi ridesharing[J].IEEE Transactions on Knowledge and Data Engineering,2015,27(7):1782-1795.
[40]FURUHATA M,DESSOUKY M,ORDÓÑEZ F,et al.Ride-sharing:The state-of-the-art and future directions[J].Transportation Research Part B:Methodological,2013,57:28-46.
[41]HOSNI H,NAOUM-SAWAYA J,ARTAIL H.The shared-taxi problem:Formulation and solution methods[J].Transportation Research Part B:Methodological,2014,70:303-318.
[42]KLEINER A,NEBEL B,ZIPARO V A.A mechanism for dynamic ride sharing based on parallel auctions[C]//Twenty-Se-cond International Joint Conference on Artificial Intelligence.2011,22:266-272.
[43]TSAO M,MILOJEVIC D,RUCH C,et al.Model PredictiveControl of Ride-sharing Autonomous Mobility-on-Demand Systems[C]//IEEE International Conference on Robotics and Automation (ICRA).2019.
[44]FARHAN J,CHEN T D.Impact of ridesharing on operational efficiency of shared autonomous electric vehicle fleet[J].Transportation Research Part C:Emerging Technologies,2018,93:310-321.
[45]LOKHANDWALA M,CAI H.Dynamic ride sharing using traditional taxis and shared autonomous taxis:A case study of NYC[J].Transportation Research Part C:Emerging Technologies,2018,97:45-60.
[46]TIAN C,HUANG Y,LIU Z,et al.Noah:a dynamic ridesharing system[C]//Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data.ACM,2013:985-988.
[47]AGATZ N,ERERA A,SAVELSBERGH M,et al.Sustainable passenger transportation:Dynamic ride-sharing[J].Erasmus Research Institute of Management,2010,2:10-33.
[48]MALODIA S,SINGLA H.A study of carpooling behaviourusing a stated preference web survey in selected cities of India[J].Transportation Planning and Technology,2016,39(5):538-550.
[49]D’OREY P M,FERNANDES R,FERREIRA M.Empiricalevaluation of a dynamic and distributed taxi-sharing system[C]//2012 15th International IEEE Conference on Intelligent Transportation Systems.IEEE,2012:140-146.
[50]MOREIRA-MATIAS L,GAMA J,FERREIRA M,et al.Predicting taxi-passenger demand using streaming data[J].IEEE Transactions on Intelligent Transportation Systems,2013,14(3):1393-1402.
[51]AGATZ N,ERERA A,SAVELSBERGH M,et al.Optimization for dynamic ride-sharing:A review[J].European Journal of Ope-rational Research,2012,223(2):295-303.
[52]AGATZ N,ERERA A,SAVELSBERGH M ,et al.DynamicRide-Sharing:a Simulation Study in Metro Atlanta[J].Procedia-Social and Behavioral Sciences,2011,17:532-550.
[53]SANTOS D O,XAVIER E C.Taxi and Ride Sharing:A Dyna-mic Dial-a-Ride Problem with Money as an Incentive[J].Expert Systems with Applications,2015,42(19):6728-6737.
[54]BATHLA K,RAYCHOUDHURY V,SAXENA D,et al.Real-Time Distributed Taxi Ride Sharing[C]//2018 21st Internatio-nal Conference on Intelligent Transportation Systems (ITSC).IEEE,2018:2044-2051.
[55]LI B,KRUSHINSKY D,REIJERS H A,et al.The share-a-ride problem:People and parcels sharing taxis[J].European Journal of Operational Research,2014,238(1):31-40.
[56]LEVIN M W,KOCKELMAN K M,BOYLES S D,et al.A ge-neral framework for modeling shared autonomous vehicles with dynamic network-loading and dynamic ride-sharing application[J].Computers,Environment and Urban Systems,2017,64:373-383.
[57]ZHANG C,XIE J,WU F,et al.Algorithm Designs for Dynamic Ridesharing System[C]//International Conference on Algorithmic Applications in Management.Springer,Cham,2018:209-220.
[58]MANNA C,PRESTWICH S.Online stochastic planning for taxi and ridesharing[C]//2014 IEEE 26th International Conference on Tools with Artificial Intelligence.IEEE,2014:906-913.
[59]MA T Y,RASULKHANI S,CHOW J Y J,et al.A dynamicridesharing dispatch and idle vehicle repositioning strategy with integrated transit transfers[J].Transportation Research Part E:Logistics and Transportation Review,2019,128:417-442.
[60]PSARAFTIS H N.Dynamic vehicle routing problems[J].Vehicle routing:Methods and studies,1988,16:223-248.
[61]BABICHEVA T,BURGHOUT W,ANDREASSON I,et al.Thematching problem of empty vehicle redistribution in autonomous taxi systems[J].Procedia Computer Science,2018,130:119-125.
[62]LEVIN M W.Congestion-aware system optimal route choice for shared autonomous vehicles[J].Transportation Research Part C:Emerging Technologies,2017,82:229-247.
[63]RAHILI S,RIVIERE B,OLIVIER S,et al.Optimal Routing for Autonomous Taxis using Distributed Reinforcement Learning[C]//2018 IEEE International Conference on Data Mining Workshops (ICDMW).IEEE,2018:556-563.
[64]BERTSIMAS D,JAILLET P,MARTIN S.Online vehicle routing:The edge of optimization in large-scale applications[J].Operations Research,2019,67(1):143-162.
[65]WONG R C P,SZETO W Y,WONG S C.A cell-based logit-opportunity taxi customer-search model[J].Transportation Research Part C:Emerging Technologies,2014,48:84-96.
[66]STIGLIC M,AGATZ N,SAVELSBERGH M,et al.The benefits of meeting points in ride-sharing systems[J].Transportation Research Part B:Methodological,2015,82:36-53.
[67]ZHANG J,MENG W,LIU Q Q,et al.Efficient vehicles path planning algorithm based on taxi GPS big data[J].Optik-International Journal for Light and Electron Optics,2016,127(5):2579-2585.
[68]YU X,GAO S,HU X,et al.A Markov decision process ap-proach to vacant taxi routing with e-hailing[J].Transportation Research Part B:Methodological,2019,121:114-134.
[69]HOU Y,LI X,ZHAO Y,et al.Towards efficient vacant taxiscruising guidance[C]//2013 IEEE Global Communications Conference (GLOBECOM).IEEE,2013:54-59.
[70]GAO S,YU X,HU X.Optimizing Vacant Taxis’ Routing Decisions:Model-based and Model-free Approaches[R].Proc.,Transportation Research Board Annual Conf. Washington,DC:Transportation Research Board,2019.
[71]ZOU Q,XUE G,LUO Y,et al.A novel taxi dispatch system for smart city[C]//International Conference on Distributed,Am-bient,and Pervasive Interactions.Berlin,Heidelberg:Springer,2013:326-335.
[72]JACOB J,ROET-GREEN R.Ride Solo or Pool:The Impact of Sharing on Optimal Pricing of Ride-Sharing Services[R].Technical report,University of Rocherster,Working Paper.2017.
[73]LIU P,GUO Q,REN F,et al.Willingness to pay for self-driving vehicles:Influences of demographic and psychological factors[J].Transportation Research Part C:Emerging Technologies,2019,100:306-317.
[74]SIMONI M D,KOCKELMAN K M,GURUMURTHY K M,et al.Congestion pricing in a world of self-driving vehicles:An analysis of different strategies in alternative future scenarios[J].Transportation Research Part C:Emerging Technologies,2019,98:167-185.
[75]YAN C,ZHU H,KOROLKO N,et al.Dynamic pricing and matching in ride-hailing platforms[J].Naval Research Logistics,2019:1-20.
[76]FURUHATA M,DESSOUKY M,ORDÓÑEZ F,et al.Ride-sharing:The state-of-the-art and future directions[J].Transportation Research Part B:Methodological,2013,57:28-46.
[77]WANG X,HE F,YANG H,et al.Pricing strategies for a taxi-hailing platform[J].Transportation Research Part E:Logistics and Transportation Review,2016,93:212-231.
[78]HE F,WANG X,LIN X,et al.Pricing and penalty/compensation strategies of a taxi-hailing platform[J].Transportation Research Part C:Emerging Technologies,2018,86:263-279.
[79]GAN J,AN B.Game-Theoretic Considerations for Optimizing Taxi System Efficiency[J].IEEE Intelligent Systems,2017,32(3):46-52.
[80]GUO S,LIU Y,XU K,et al.Understanding ride-on-demand service:demand and dynamic pricing[C]//2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).IEEE,2017:509-514.
[81]KRUEGER R,RASHIDI T H,ROSE J M.Preferences forshared autonomous vehicles[J].Transportation Research Part C:Emerging Technologies,2016,69:343-355.
[82]CEPOLINA E M,FARINA A.A new shared vehicle system for urban areas[J].Transportation Research Part C:Emerging Technologies,2012,21(1):230-243.
[83]WANG Y,ZHENG B,LIM E P.Understanding the effects oftaxi ride-sharing-A case study of Singapore[J].Computers,Environment and Urban Systems,2018,69:124-132.
[84]SWAN M.Connected car:quantified self becomes quantified car[J].Journal of Sensor and Actuator Networks,2015,4(1):2-29.
[85]VIERECKL R,AHLEMANN D,KOSTER A,et al.Racing ahead with autonomous cars and digital innovation[J].Auto Tech Review,2015:18-23.
[86]DAKROUB H,SHAOUT A,AWAJAN A.Connected car architecture and virtualization[J].SAE International Journal of Passenger Cars-Electronic and Electrical Systems,2016,9:153-159.
[87]CHEN M,TIAN Y,FORTINO G,et al.Cognitive internet of vehicles[J].Computer Communications,2018,120:58-70.
[88]XU W,ZHOU H,CHENG N,et al.Internet of vehicles in big data era[J].IEEE/CAA Journal of AutomaticaSinica,2018,5(1):19-35.
[89]KUMAR P M,DEVI U,MANOGARAN G,et al.Ant colony optimization algorithm with Internet of Vehicles for intelligent traffic control system[J].Computer Networks,2018,144:154-162.
[90]YAQOOB S,ULLAH A,AKBAR M,et al.Fog-assisted Con-gestion Avoidance Scheme for Internet of Vehicles[C]//2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC).IEEE,2018:618-622.
[91]PARISE G,PARISE L,PARISE M.Evolution of Human Society and of Things Assisted by IoT[C]//2018 IEEE International Symposium on Technology and Society (ISTAS).IEEE,2018:95-101.
[92]ANG L M,SENG K P,IJEMARU G K,et al.Deployment of IoV for Smart Cities:Applications,Architecture,and Challenges[J].IEEE Access,2019,7:6473-6492.
[93]XIONG H,LIU J,ZHANG R,et al.An Accurate Vehicle andRoad Condition Estimation Algorithm for Vehicle Networking Applications[J].IEEE Access,2019,7:17705-17715.
[94]CHEN J,XU W,CHENG N,et al.Reinforcement Learning Po-licy for Adaptive Edge Caching in Heterogeneous Vehicular Network[C]//2018 IEEE Global Communications Conference (GLOBECOM).IEEE,2018:1-6.
[95]QI H,LIU P.Mining Taxi Pick-Up Hotspots Based on Spatial Clustering[C]//2018 IEEE SmartWorld,Ubiquitous Intelligence & Computing,Advanced & Trusted Computing,Scalable Computing & Communications,Cloud & Big Data Computing,Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).IEEE,2018:1711-1717.
[96]QU B,YANG W,CUI G,et al.Profitable Taxi Travel Route Recommendation Based on Big Taxi Trajectory Data[J].IEEE Transactions on Intelligent Transportation Systems,2019:1-16.
[97]ZHANG J,WANG F Y,WANG K,et al.Data-driven intelligent transportation systems:A survey[J].IEEE Transactions on Intelligent Transportation Systems,2011,12(4):1624-1639.
[98]BARBIERU C,POP F.Soft real-time hadoop scheduler for big data processing in smart cities[C]//2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA).IEEE,2016:863-870.
[99]PUTRI F K,KWON J.A distributed system for finding high profit areas over big taxi trip data with MognoDB and spark[C]//2017 IEEE International Congress on Big Data (BigData Congress).IEEE,2017:533-536.
[100]LEIBIUSKY J,EISBRUCH G,SIMONASSI D.Getting Star-ted with Storm[M].O’Reilly Media,Inc.,2012.
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