Cyber-Physical Control of Road Freight Transport

被引:68
|
作者
Besselink, Bart [1 ,2 ]
Turri, Valerio [1 ,2 ]
van de Hoef, Sebastian H. [1 ,2 ]
Liang, Kuo-Yun [1 ,2 ]
Alam, Assad [3 ]
Martensson, Jonas [1 ,2 ]
Johansson, Karl H. [1 ,2 ]
机构
[1] Royal Inst Technol KTH, Sch Elect Engn, ACCESS Linnaeus Ctr, S-11428 Stockholm, Sweden
[2] Royal Inst Technol KTH, Sch Elect Engn, Dept Automat Control, S-11428 Stockholm, Sweden
[3] Scania CV AB, S-15138 Sodertalje, Sweden
基金
瑞典研究理事会;
关键词
Automotive engineering; automated highways; intelligent transportation systems; intelligent vehicles; networked control systems; vehicular communication; OPTIMAL ERROR REGULATION; STRING STABILITY; FUEL CONSUMPTION; CONTROL DESIGN; VEHICLES; FRAMEWORK; PLATOON; SAFETY;
D O I
10.1109/JPROC.2015.2511446
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Freight transportation is of outmost importance in our society and is continuously increasing. At the same time, transporting goods on roads accounts for about 26% of the total energy consumption and 18% of all greenhouse gas emissions in the European Union. Despite the influence the transportation system has on our energy consumption and the environment, road transportation is mainly done by individual long-haulage trucks with no real-time coordination or global optimization. In this paper, we review how modern information and communication technology supports a cyber-physical transportation system architecture with an integrated logistic system coordinating fleets of trucks traveling together in vehicle platoons. From the reduced air drag, platooning trucks traveling close together can save about 10% of their fuel consumption. Utilizing road grade information and vehicle-to-vehicle communication, a safe and fuel-optimized cooperative look-ahead control strategy is implemented on top of the existing cruise controller. By optimizing the interaction between vehicles and platoons of vehicles, it is shown that significant improvements can be achieved. An integrated transport planning and vehicle routing in the fleet management system allows both small and large fleet owners to benefit from the collaboration. A realistic case study with 200 heavy-duty vehicles performing transportation tasks in Sweden is described. Simulations show overall fuel savings at more than 5% thanks to coordinated platoon planning. It is also illustrated how well the proposed cooperative look-ahead controller for heavy-duty vehicle platoons manages to optimize the velocity profiles of the vehicles over a hilly segment of the considered road network.
引用
收藏
页码:1128 / 1141
页数:14
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