Paper presentations Virtual Room
Feb 18, 2022 01:30 PM - 03:00 PM(Europe/Amsterdam)
20220218T1330 20220218T1500 Europe/Amsterdam Measuring and Monitoring urban mobility Virtual Room Reinventing the City events@ams-institute.org
38 attendees saved this session
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New method of monitoring CO2-emissions of traffic in AmsterdamView Abstract
01:30 PM - 03:00 PM (Europe/Amsterdam) 2022/02/18 12:30:00 UTC - 2022/02/18 14:00:00 UTC
The city of Amsterdam has big ambitions on the reduction of CO2-emissions. Plans to reduce the emissions of traffic are important to reach these ambitions. So far, Amsterdam made use of data of the national Emissieregistratie database to monitor the local CO2-emissions of traffic. These data are based on a nationale traffic models and can't be used to see the effects of local policies to reduce the emissions of traffic. Therefore, Amsterdam implemented a new method that gives actual data based on local sources. The calculations have been performed by TNO. The method is based on the local traffic model, indices for the traffic volume based on the traffic lights database, data from a huge number of ANPR cameras and national emission factors by TNO. By using this method, it is possible to yearly monitor the realised reduction of CO2-emissions of traffic in Amsterdam. The method can be improved by using information on stagnation factors of traffic. We're looking forward to ideas of the public on this question.
Presenters
JG
Jeroen Grooten
City Of Amsterdam
Automated Last-Mile On-Demand Logistics from Multiple DepotsView Abstract
Oral presentationSmart Urban Mobility 01:30 PM - 03:00 PM (Europe/Amsterdam) 2022/02/18 12:30:00 UTC - 2022/02/18 14:00:00 UTC
Delivery drivers on bikes and vans are a considerable amount of traffic in city centers. Reducing their amount while satisfying residents' needs is a challenge many modern cities face. The new trend of flash-deliveries, where customers order and get their goods within minutes started to contribute to this. In this paper, we investigate same-day delivery operations, specifically with small time windows between ordering and delivery. The problem features the opportunity to pick up goods at multiple local depots, for example, supermarkets within a city, and allows vehicles to perform depot returns prior to being empty, if beneficial. This allows for more agile planning and on average shorter distance to the next depot, resulting in fewer vehicles and traffic. We propose a novel dynamic method for online task assignment and routing, where we aim to deliver orders as fast as possible, minimally within the same day. In each time step (every few seconds or minutes) the following is executed. First, for each order potential pick-up locations are identified and feasible trips, i.e., sequences to pick up goods and deliver orders, are calculated. Then, trips are assigned to vehicles by solving an integer linear program. We simulate one day of service in Amsterdam, compare results to different strategies, and test different scenarios with up to 35 autonomous vehicles, 25 depots, and 10,500 orders. Results underpin the advantages of the proposed method and show its versatility with respect to different situations.
Presenters
MK
Maximilian Kronmueller
Technische Universiteit Delft
Co-Authors Andres Fielbaum
TU Delft
JA
Javier Alonso-Mora
TU Delft
City of Amsterdam
Technische Universiteit Delft
 Tom Kuipers
AMS Institute
 Fabio Tejedor
AMS and WUR-UEC Group
Radboud University (PhD researcher)
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New method of monitoring CO2-emissions of traff...
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