A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
Data-Driven Multi-Agent Vehicle Routing in a Congested City
2021
Information
Preserved Fulltext
These data are made available to all users, such that they may be able to learn and predict the effects of congestion for building a route adaptively. ...
This method is further enhanced by combining the traffic information system data with previous routing experiences to determine the fastest route with less exploration. ...
Acknowledgments: We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC).
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/info12110447
fatcat:ndvugsw3qbdb5h26qhcfls75xa
T-Drive: Enhancing Driving Directions with Taxi Drivers' Intelligence
2013
IEEE Transactions on Knowledge and Data Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
Then, a Variance-Entropy-Based Clustering approach is devised to estimate the distribution of travel time between two landmarks in different time slots. ...
Based on this graph, we design a two-stage routing algorithm to compute the practically fastest and customized route for end users. ...
the fastest route according to the estimated speeds. ...
doi:10.1109/tkde.2011.200
fatcat:xvfrse46sbhvtngysh4hjihec4
An Eco-Friendly Multimodal Route Guidance System for Urban Areas Using Multi-Agent Technology
2021
Applied Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Our validation results demonstrate the effectiveness of personalized multimodal route guidance in inducing a positive travel behavior change and the ability of the agent-based route planning system to ...
Commuters are supplied with multimodal routes that endeavor to reduce travel times and transport carbon footprint. ...
Acknowledgments: We would like to acknowledge and thank the participants of the field trials in Nottingham (UK) and Sofia (Bulgaria) for taking part in this research. ...
doi:10.3390/app11052057
fatcat:n5haqzck6re57gegs66bse76oa
T-drive
2010
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems - GIS '10
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
Then, a Variance-Entropy-Based Clustering approach is devised to estimate the distribution of travel time between two landmarks in different time slots. ...
Based on this graph, we design a two-stage routing algorithm to compute the practically fastest route. ...
For example, in Figure 11 (A), if we start at time = 0, the fastest route from to is → 3 → 4 → . ...
doi:10.1145/1869790.1869807
dblp:conf/gis/YuanZZXXSH10
fatcat:c6r5v6qwfbeo5aiowxs3ytmfju
Learning to Route via Theory-Guided Residual Network
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2021 pre-print arXiv:2105.08279v1 fatcat:megnfm5pcja5vfjhhk7rgwi2e4
To address these problems, we propose a theory-guided residual network model, where the theoretical part can emphasize the general principles for human routing decisions (e.g., fastest route), and the ...
First, human routing decisions are determined by multiple factors, besides the common time and distance factor. ...
Related Work
Route Recommendation Route recommendation is the most relevant topic to our paper, which aims to recommend routes for a given origin and destination that can save time for travelers or mitigate ...
arXiv:2105.08279v2
fatcat:4chugk3uw5er3o7aczsgmezoju
Towards Green Driving: A Review of Efficient Driving Techniques
2022
World Electric Vehicle Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
These recommendations are selected according to the real-time traffic distribution and the context of the road network. ...
In addition, several advisory systems have been proposed to recommend to drivers the most efficient speed, route, or other decisions to follow towards their targeted destinations. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/wevj13060103
fatcat:3lqg6tz7nvcmfjvjgqj3ttkiri
Exploring Factors that Influence Connected Drivers to (Not) Use or Follow Recommended Optimal Routes
2019
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2019 pre-print arXiv:1901.06681v1 fatcat:p5ydnahxbbgrxgqkvb2l5fmhfu
With the intention to circumnavigate congested roads, their route guidance always follows the basic assumption that drivers always want the fastest route. ...
We found that while drivers choose a recommended route in urgent situations, many still preferred to follow familiar routes. ...
Deviations Comparing the estimated travel time of the recommended routes and the actual travel times, deviating at least once made the trips longer by an average of 3.11 minutes (N=53, SD=12.35). ...
doi:10.1145/3290605.3300601
dblp:conf/chi/SamsonS19
fatcat:wlxsbojwbfgidczmwvqhqmnpkq
Driving with knowledge from the physical world
2011
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '11
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
As a result, our service accurately estimates the travel time of a route for a user; hence finding the fastest route customized for the user. ...
This service gradually learns a user's driving behavior from the user's GPS logs and customizes the fastest route for the user with the help of the Cloud. ...
To address the above challenges, instead of directly finding the fastest driving route for a particular user, we first record the routes the user has driven with GPS logs and then estimate the travel time ...
doi:10.1145/2020408.2020462
dblp:conf/kdd/YuanZXS11
fatcat:gsm75aexobdxzhcm3xosb6lbjy
An Efficient Traffic Analysis and Optimization on the Dynamic Network Using Two Stage Routing Algorithm
2015
International Journal of Future Generation Communication and Networking
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
and also provides the optimal alternate route for destination. ...
, fuel usage are needed for eco-routing. ...
2) How these methods learn a user's diver behavior accurately and estimate the travel time of a route for the user precisely? If the answers are effective then the system is valuable. ...
doi:10.14257/ijfgcn.2015.8.1.27
fatcat:s6ug5ahqpbh7fpu4cqlk42osqu
Information impact on transportation systems
2015
Journal of Computational Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We developed an agent based model to simulate the effect of drivers using real time information to avoid traffic congestion. ...
Experiments reveal that the system's performance is influenced by the number of participants that have access to real time information. ...
Agents travel from origin to destination on the fastest recommended option. Agents select either Route A or Route B at the decision point. ...
doi:10.1016/j.jocs.2015.04.019
fatcat:i7h54w5bmnatxo3b4jbj2jpjry
Forecast-augmented Route Guidance in Urban Traffic Networks based on Infrastructure Observations
2016
Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The results indicate their benefit in terms of lower travel times and emissions, even under low compliance rates. ...
These protocols were adapted to utilise forecasts of traffic flows to offer anticipatory and time-dependant DRG for road users. ...
Each table entry now contains entries for each incoming section, the destination, the recommended next turning and the estimated travel time to this destination. ...
doi:10.5220/0005741901770186
dblp:conf/vehits/SommerTH16
fatcat:haw4xkc4mzcydmxjwksei7bqw4
An Approach to Assess the Effect of Currentness of Spatial Data on Routing Quality
2021
AGILE: GIScience Series
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Road networks, the main data source for routing, are prone to changes which can have a big impact on the computed route and therefore on travel time. ...
During navigation these decisions are crucial for being routed to the desired destination (usually going by the shortest or fastest route). ...
We would like to thank the members of the OSRM-talk mailing list for providing helpful advice in using the OSRM routing engine. ...
doi:10.5194/agile-giss-2-13-2021
fatcat:omrhczknivdxznmvwf4uo2vj4i
Time-Dependent Trajectory Regression on Road Networks via Multi-Task Learning
2013
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Experiments conducted on both synthetic and real data sets demonstrate the effectiveness of our method and its improved accuracy on travel time prediction. ...
Other works on route planning and recommendation that have considered temporal factors simply assumed that the temporal dynamics be known in advance as a parametric function over time, which is not faithful ...
Related Work Traffic mining-based fastest route computation Many approaches have been proposed to recommend fastest route by mining knowledge from historical vehicle trajectories. ...
doi:10.1609/aaai.v27i1.8577
fatcat:5tc42sdfinf4flzeyy664bzn5u
Optimal estimates for short horizon travel time prediction in urban areas
2016
Intelligent Data Analysis
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
One approach is to predict travel times for route segments, and sum those estimates to obtain a prediction for the whole route. We study how to obtain optimal predictions in this scenario. ...
One of the main challenges for travel time estimation and prediction in such a setting is how to aggregate data from vehicles that have followed different routes, and predict travel time for other routes ...
Therefore, travel time is chosen as the target variable given the task to plan the fastest route. 3. Estimating travel time from historical data. ...
doi:10.3233/ida-150292
fatcat:76hoeizynbf3xopmuoklxzvzta
DoppelDriver: Counterfactual actual travel times for alternative routes
2015
2015 IEEE International Conference on Pervasive Computing and Communications (PerCom)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Also, we describe the potential usage and benefits of ex-post feedback (i.e. travel time on non-chosen routes) and how snapshots of travel time comparisons can be used to support strategic decision making ...
Using real taxi GPS data, we investigate whether aggregating ATAs for road segments from other users mimics the ATA for the intended origin-to-destination route. ...
ACKNOWLEDGMENT We thank Daniele Puccinelli and the anonymous reviewers for their insightful comments. This work was supported in part by NSF grant CNS-1111811 and Google Research Award. ...
doi:10.1109/percom.2015.7146525
dblp:conf/percom/KwakKLNI15
fatcat:c4dawmhgfffvheaqvc2sm46nse
« Previous
Showing results 1 — 15 out of 8,432 results