Are Drones Safer Than Vans?: A Comparison of Routing Risk in Logistics

被引:1
作者
Oakey, Andy [1 ]
Pilko, Aliaksei [2 ]
Cherrett, Tom [1 ]
Scanlan, James [2 ]
机构
[1] Univ Southampton, Transportat Res Grp, Southampton SO17 1BJ, England
[2] Univ Southampton, Computat Engn & Design Grp, Southampton SO17 1BJ, England
来源
FUTURE TRANSPORTATION | 2022年 / 2卷 / 04期
基金
英国工程与自然科学研究理事会;
关键词
drones; vans; logistics; delivery; risk; safety; uav; rpas; uas; uam; evtol; loss of control; failure; routing; UNITED-STATES; TRAVEL;
D O I
10.3390/futuretransp2040051
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Drones are being considered as an alternative transport mode to ground based van networks. Whilst the speed and application of such networks has been extensively studied, the safety aspects of such modes have not been directly compared. Using UK Department for Transport data and a drone flight planning approach using a probabilistic risk model, an estimation of fatality rates for seven origin-destination (O-D) pairs was undertaken in a theoretical case study of medical deliveries in the Southampton area of the UK. Using failure rates from the literature, results indicated that commercial vehicles (<3.5 T) were safer than drones in all cases by <= 12.73 (12.73 times more fatalities by drone than by road). With the O-D pairs covering a range of localities, routes covering more mileage on minor roads were found to be the least safe but were still >= 1.87 times safer than drone deliveries. Sensitivity tests on the modelled drone failure rates suggested that the probability of a failure would have to be <= 5.35x10(-4) per flight-hour for drone risk to be equal to van risk. Investigating the circuity of drone routes (how direct a route is) identified that level of risk had a significant impact on travel distances, with the safest paths being 273% longer than the riskier, straight-line flight equivalent. The findings suggest that the level of acceptable risk when designing drone routes may negatively impact on the timeliness of drone deliveries due to the increased travel distance and time that could be incurred.
引用
收藏
页码:923 / 938
页数:16
相关论文
共 49 条
  • [1] [Anonymous], 2015, Wired
  • [2] [Anonymous], 2022, Ford Technical Specification-Ford eTransit
  • [3] [Anonymous], 2002, FORMAL SAFETY ASSESS
  • [4] Public acceptance of drones: Knowledge, attitudes, and practice
    Aydin, Burchan
    [J]. TECHNOLOGY IN SOCIETY, 2019, 59
  • [5] Selected country circuity factors for road travel distance estimation
    Ballou, RH
    Rahardja, H
    Sakai, N
    [J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2002, 36 (09) : 843 - 848
  • [6] Motor vehicle crash injury rates by mode of travel, united states: Using exposure-based methods to quantify differences
    Beck, Laurie F.
    Dellinger, Ann M.
    O'Neil, Mary E.
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 2007, 166 (02) : 212 - 218
  • [7] Vehicle routing on road networks: How good is Euclidean approximation?
    Boyaci, Burak
    Thu Huong Dang
    Letchford, Adam N.
    [J]. COMPUTERS & OPERATIONS RESEARCH, 2021, 129
  • [8] Buczkowska S., 2015, P 55 C EUR REG SCI A, P22
  • [9] Clothier R. A., 2006, PROC 21 INT UNMANNED
  • [10] Modelling the risks remotely piloted aircraft pose to people on the ground
    Clothier, Reece A.
    Williams, Brendan P.
    Hayhurst, Kelly J.
    [J]. SAFETY SCIENCE, 2018, 101 : 33 - 47