Parking Guidance and Geofencing for Last-Mile Delivery Operations

被引:2
作者
Simoni, Michele D. [1 ]
机构
[1] KTH Royal Inst Technol, Div Transport & Syst Anal, S-11428 Stockholm, Sweden
关键词
Curbside management; simulation-based optimization; parking guidance; geofencing; last-mile delivery; URBAN FREIGHT; SIMULATION FRAMEWORK; KINEMATIC WAVES; TRANSPORT; VEHICLES; SYSTEMS; CITIES;
D O I
10.1109/TITS.2024.3379450
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The current shortage of road and parking capacity to accommodate freight traffic poses a significant challenge in cities. This study develops and analyzes alternative traffic management strategies for last-mile delivery operations. Three alternative implementations of parking guidance involving allocating commercial vehicles to dedicated loading/unloading bays are investigated alongside a vehicle-specific geofence strategy. Methodologically, an agent-based model framework is employed to reproduce the interactions among (parking and cruising) carriers, the surrounding traffic, and a traffic controller. An efficient metaheuristic is integrated with simulation to address the corresponding optimization. The effectiveness of the strategies in reducing traffic congestion and other externalities varies depending on the level and configuration of freight demand. Among the parking guidance strategies, those weighing more on carriers' convenience mitigate potential risks of equity and acceptability issues but at the cost of an efficiency loss. Geofencing is less problematic due to the minor operational modifications, offering comparable traffic performance improvement for low and medium demand levels.
引用
收藏
页码:9091 / 9102
页数:12
相关论文
共 49 条
  • [1] Aditjandra PT, 2016, EUR J TRANSP INFRAST, V16, P4
  • [2] Smart parking in IoT-enabled cities: A survey
    Al-Turjman, Fadi
    Malekloo, Arman
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2019, 49
  • [3] Municipal adaptation to changing curbside demands: Exploratory findings from semi-structured interviews with ten US cities
    Butrina, Polina
    Le Vine, Scott
    Henao, Alejandro
    Sperling, Joshua
    Young, Stanley E.
    [J]. TRANSPORT POLICY, 2020, 92 : 1 - 7
  • [4] Capgemini, 2021, Benefits of Combining Phevs and Geofenc ing
  • [5] Lax-Hopf Based Incorporation of Internal Boundary Conditions Into Hamilton-Jacobi Equation. Part I: Theory
    Claudel, Christian G.
    Bayen, Alexandre M.
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2010, 55 (05) : 1142 - 1157
  • [6] DynaLOAD: a simulation framework for planning, managing and controlling urban delivery bays
    Comi, Antonio
    Buttarazzi, Berta
    Schiraldi, Massimiliano M.
    Innarella, Rosy
    Varisco, Martina
    Rosati, Luca
    [J]. 19TH EURO WORKING GROUP ON TRANSPORTATION MEETING (EWGT2016), 2017, 22 : 335 - 344
  • [7] The deployment of automated vehicles in urban transport systems: a methodology to design dedicated zones
    Conceicao, Ligia
    Correia, Goncalo
    Tavares, Jose Pedro
    [J]. 20TH EURO WORKING GROUP ON TRANSPORTATION MEETING, EWGT 2017, 2017, 27 : 230 - 237
  • [8] Dablanc L., 2015, Tech. Rep. 14-3.2d
  • [9] Goods transport in large European cities: Difficult to organize, difficult to modernize
    Dablanc, Laetitia
    [J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2007, 41 (03) : 280 - 285
  • [10] Daganzo Carlos F., 1997, Fundamentals of transportation and traffic operations, V1st edition, DOI 10.1108/9780585475301