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This paper investigated economic truck parking behavior to implement comprehensive Freight Loading Zone (FLZ) policies. We assumed that the delivery trucks can only park on FLZ. The proposed contribution is to quantify the cruising for parking time of trucks. We used a microscopic traffic simulation based on a Manhattan network and the real network of Lyon (France). This paper explored the relationship between the searching time, the parking probabilities and the region’s parking density. Based on research results, an application to last mile cost function is proposed.
Clélia Lopez; Chuan-Lin Zhao; Stéphane Magniol; Nicolas Chiabaut; Ludovic Leclercq. Microscopic Simulation of Cruising for Parking of Trucks as a Measure to Manage Freight Loading Zone. Sustainability 2019, 11, 1276 .
AMA StyleClélia Lopez, Chuan-Lin Zhao, Stéphane Magniol, Nicolas Chiabaut, Ludovic Leclercq. Microscopic Simulation of Cruising for Parking of Trucks as a Measure to Manage Freight Loading Zone. Sustainability. 2019; 11 (5):1276.
Chicago/Turabian StyleClélia Lopez; Chuan-Lin Zhao; Stéphane Magniol; Nicolas Chiabaut; Ludovic Leclercq. 2019. "Microscopic Simulation of Cruising for Parking of Trucks as a Measure to Manage Freight Loading Zone." Sustainability 11, no. 5: 1276.
This paper analyzes the dynamic traffic assignment problem on a three-alternative network with day-based incentive routing strategies by using graphical solution method. It is assumed that the cumulative count curve of vehicles is known and that the arrival rate is unimodal. The dynamic system optimum (DSO) allocation lines are first drawn based on calculus of variations. Three possible optimal allocation lines are analyzed. A day-based incentive routing strategy is designed and conditions that when and how to implement the incentive scheme to realize DSO are then derived. Extension to general parallel networks is also given. Examples are presented to demonstrate the effectiveness of the scheme.
Chuan-Lin Zhao; Ludovic Leclercq. Graphical solution for system optimum dynamic traffic assignment with day-based incentive routing strategies. Transportation Research Part B: Methodological 2018, 117, 87 -100.
AMA StyleChuan-Lin Zhao, Ludovic Leclercq. Graphical solution for system optimum dynamic traffic assignment with day-based incentive routing strategies. Transportation Research Part B: Methodological. 2018; 117 ():87-100.
Chicago/Turabian StyleChuan-Lin Zhao; Ludovic Leclercq. 2018. "Graphical solution for system optimum dynamic traffic assignment with day-based incentive routing strategies." Transportation Research Part B: Methodological 117, no. : 87-100.