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Transportation
Published in Robin Lovelace, Jakub Nowosad, Jannes Muenchow, Geocomputation with R, 2019
Robin Lovelace, Jakub Nowosad, Jannes Muenchow
Disadvantages of remote routing services include speed (they rely on data transfer over the internet) and price (the Google routing API, for example, limits the number of free queries). The googleway package provides an interface to Google’s routing API. Free (but rate limited) routing service include OSRM14 and openrouteservice.org15.
The demand potential of shared autonomous vehicles: a large-scale simulation using mobility survey data
Published in Journal of Intelligent Transportation Systems, 2023
Riccardo Iacobucci, Jonas Donhauser, Jan-Dirk Schmöcker, Marco Pruckner
To provide more realistic agent travel times and distances, the Open Source Routing Machine (OSRM) is used. OSRM is a stand-alone application providing an efficient routing API based on OpenStreetMap data. OSRM is not only able to provide street map based travel times and distances for cars, but also for pedestrians and bicycles. The MiD dataset does contain train and public transport trips, which may also be sampled as agents by the augmentation algorithm. Since OSRM does not provide railway routing, no OSRM based travel time or distance can be assigned to those trips, and an alternative approach is used in these cases, as described in Section 5.3. In the future, the framework could be extended to use data from OpenRailwayMap (https://www.openrailwaymap.org/) to fill this missing attribute.
Assessment of disparities in spatial accessibility to vaccination sites in Florida
Published in Annals of GIS, 2022
Kyusik Kim, Mahyar Ghorbanzadeh, Mark W. Horner, Eren Erman Ozguven
where, can be either the nearest opportunity or cumulative opportunities of census tract in a given county, and is a corresponding population group living in a census tract . This is a form of the weighted mean of nearest opportunity () and cumulative opportunities () based on a certain subpopulation group. These accessibility metrics were calculated by using travel time between a hexagon and a vaccination site. This analysis used Open Source Routing Machine (OSRM) that is an open-source C++ routing engine for shortest paths in road networks (Project OSRM 2021) to calculate the approximate travel time by car, . There are alternatives for road network sources, whereas OSRM has an advantage for calculating travel time and a more detailed road network with speed limits based on OpenStreetMap.
A city-scale IoT-enabled ridesharing platform
Published in Transportation Letters, 2020
Claudio Gambella, Julien Monteil, Anton Dekusar, Sergio Cabrero Barros, Andrea Simonetto, Yassine Lassoued
The experiment setup consists of a custom traffic simulator that updates vehicle positions on a map considering the road network and traffic speeds per road link. The simulator is connected to the ride-sharing service through the IoT platforms. The simulator is connected to the vehicle IoT platform to update vehicle routes and positions, and makes use of prerecorded IoT event data sitting on the oneM2M IoT platform. So, from the service point of view, there is no difference between the simulator and the real world. In addition, the simulator can be configured to simulate real-time traffic on selected roads, by updating the OSRM routing contract. We inserted IoT traffic data using this mechanism so as to simulate traffic jams in different roads. We are then able to use the routing engine in both the ‘IoT-enabled’ and ‘IoT-disabled’ modes. In both modes, vehicles move at the appropriate speeds as measured by the IoT devices, and update their locations accordingly. The ridesharing scheduler is only aware of the IoT measurements in the ‘IoT-enabled’ condition. Thus, in the ‘IoT-disabled’ condition, assignments are optimized assuming free-flow traffic, i.e. traffic in all roads is fluid. The expectation is that this will lead the ridesharing scheduler to suboptimal recommendations that are detrimental to the service quality.