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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.
In this paper, we investigate the day-to-day regularity of urban congestion patterns. We first partition link speed data every 10 min into 3D clusters that propose a parsimonious sketch of the congestion pulse. We then gather days with similar patterns and use consensus clustering methods to produce a unique global pattern that fits multiple days, uncovering the day-to-day regularity. We show that the network of Amsterdam over 35 days can be synthesized into only 4 consensual 3D speed maps with 9 clusters. This paves the way for a cutting-edge systematic method for travel time predictions in cities. By matching the current observation to historical consensual 3D speed maps, we design an efficient real-time method that successfully predicts 84% trips travel times with an error margin below 25%. The new concept of consensual 3D speed maps allows us to extract the essence out of large amounts of link speed observations and as a result reveals a global and previously mostly hidden picture of traffic dynamics at the whole city scale, which may be more regular and predictable than expected.
Clélia Lopez; Ludovic Leclercq; Panchamy Krishnakumari; Nicolas Chiabaut; Hans Van Lint. Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps. Scientific Reports 2017, 7, 1 -11.
AMA StyleClélia Lopez, Ludovic Leclercq, Panchamy Krishnakumari, Nicolas Chiabaut, Hans Van Lint. Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps. Scientific Reports. 2017; 7 (1):1-11.
Chicago/Turabian StyleClélia Lopez; Ludovic Leclercq; Panchamy Krishnakumari; Nicolas Chiabaut; Hans Van Lint. 2017. "Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps." Scientific Reports 7, no. 1: 1-11.