Parking Guidance and Geofencing for Last-Mile Delivery Operations

被引:0
|
作者
Simoni, Michele D. [1 ]
机构
[1] KTH Royal Inst Technol, Div Transport & Syst Anal, S-11428 Stockholm, Sweden
关键词
Urban areas; Traffic congestion; Roads; Pollution; Microscopy; Environmentally friendly manufacturing techniques; Vehicle dynamics; 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:1 / 12
页数:12
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