Route Choice Modeling Using Gps Data
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Route Choice Modeling Using Gps Data
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Author : Nagendra S. Dhakar
language : en
Publisher:
Release Date : 2012
Route Choice Modeling Using Gps Data written by Nagendra S. Dhakar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
A positive sign on the path size attribute indicates that the route with less similarity with the alternatives is more likely to be chosen. Trips going to home are the least sensitive to the travel time and right turns than the other trips. Compared to home-based trips, non-home-based trips are less sensitive to intersections and time on local roads. On average, the expected overlaps (probabilistic routes) with the chosen route are similar to the deterministic overlaps (shortest time path). Also, there is a probability of about 50% that the predicted route will outperform the shortest time path. We envision this study as an important contribution towards the development of empirically rich route choice models. With increasing numbers of GPS surveys and benefits of using high-resolution roadway network, the availability of computationally efficient automatic procedures to generate the chosen routes and alternatives is critical. Further, the examination of route choice behavior in terms of travelers' demographics provides more insight into the route choice decisions.
Bike Route Choice Modeling Using Gps Data Without Choice Sets Of Paths
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Author : Maëlle Zimmermann
language : en
Publisher:
Release Date : 2016
Bike Route Choice Modeling Using Gps Data Without Choice Sets Of Paths written by Maëlle Zimmermann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Truck Route Choice Modeling Using Large Streams Of Gps Data
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Author : Divyakant Tahlyan
language : en
Publisher:
Release Date : 2017
Truck Route Choice Modeling Using Large Streams Of Gps Data written by Divyakant Tahlyan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
Route Choice Modeling Based On Gps Tracking Data
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Author : Zainal Nur Arifin
language : en
Publisher:
Release Date : 2012
Route Choice Modeling Based On Gps Tracking Data written by Zainal Nur Arifin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Using Gps Data In Route Choice Analysis
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Author : Anyang Hou
language : en
Publisher:
Release Date : 2010
Using Gps Data In Route Choice Analysis written by Anyang Hou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Global Positioning System categories.
The pervasive location-based technologies, such as GPS and cell phone, help us find the pattern of geographical information of human behavior and also help dig opportunities in real world. In transportation field, they help people better understand the transportation behavior and at the same time collect necessary information for us. One important aspect of its application is how people choose the route given the existing urban network. However, dealing with the excessive amount of data and the modeling of route choice behavior are two major challenges in the route choice analysis. This thesis discusses the general process in the route choice analysis, from GPS data processing, map matching to the generation of route choice sets. Besides, the Path-Size logit model is implemented to address the modeling issue. In this thesis, I develop a new effective method, which I called Point-Based Local Search Map Matching, to match the consecutive GPS data to the network data. Also, I develop a new model, which I called Random Weight Choice Set Generation Model to deal with the choice set generation problem in the route choice analysis. The data comes from two major sources. One is the Boston car GPS data. It tells when and where a specific car is. The other is the Boston urban network data, which contains all types of roads in GIS format.
Development Of A Cyclists Route Choice Model
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Author : Vladimir Usyukov
language : en
Publisher:
Release Date : 2013
Development Of A Cyclists Route Choice Model written by Vladimir Usyukov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
This research presents the first North American route-choice model for cyclists developed from a large sample of GPS data. These findings should encourage all interested municipalities to implement cycling as part of their transportation planning by determining key designing and planning factors to encourage cycling. The analysis is based on processing revealed preference data obtained from 415 self-selected cyclists in Waterloo, Ontario, which corresponded to 2000 routes. Cyclists' route decisions were modeled using multinomial logit framework of discrete choice theory. The main finding involved in capturing two different behaviour groups, namely experienced and inexperienced cyclists. This was subsequently reflected in the two developed models. The key factors impacting route-choice were found to be trip length, speed, volume, bicycle lane presence and percent of uphill gradient that cyclists face. The predictive power of the best model was 65%. The outlier analysis found that the relative significance of uphill gradient coefficient in one circumstances and perhaps the exclusion of unobserved variables, in other circumstances could be the cause why probability of actual choice was not predicted by both models all the time. In addition, this research involved in the development of a transferability study involving route-choice modeling for cyclists. The analysis is based on the revealed preference data obtained from 255 self-selected cyclists in Peel Region, Ontario, which corresponded to 425 unique routes. The choice set contained actual routes and a combination of alternatives obtained by labeling and impedance rules. The transferability of Waterloo's model to Peel Region was 37%. This means that cyclists behaviour in the Peel Region can be predicted correctly by travel length, bicycle lane presence and percent of uphill gradient for every third cyclist.
Investigating Route Choices And Driving Behavior Using Gps Collected Data
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Author : Jianhe Du
language : en
Publisher:
Release Date : 2005
Investigating Route Choices And Driving Behavior Using Gps Collected Data written by Jianhe Du and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Electronic dissertations categories.
The overall objective of this research is to collect real world travel route data using Global Positioning System (GPS) receivers and to develop the models needed to use these data in route choice and other travel behavior research. To achieve the goal three specific analyses are conducted. First, a GIS model was developed to divide the data stream recorded by the in-vehicle GPS receivers into individual trips with the start and end point of the trip being specifically identified. Second, a spatial model was developed to change the typology of the routes (or trips) from representation as a series of points into a series of continuous network links. Automating this data processing will allow analysis of larger datasets for more generalizable results. Third, travel time on each road link in the entire network was estimated using the sparse sample of GPS travel data (256 vehicles each for 10 days spreading over the 18 month study period) as travel time probes. This model is necessary so that the link travel times on each alternative routes faced by the drivers for each trip are known by researchers. This knowledge of the full network travel times, which has not been available in any previous research, will allow for the generation of alternative routes and comparison with the chosen routes to determine the relative influences of different factors on route choice. One specific unique aspect of this work is that data for calibration and evaluation of models were available. The evaluations of the models indicated which combination of parameters was best. The trip dividing model correctly identified 94% of the trips. The accuracy level of the point-to-link data conversion model was 95%. The average difference between the GPS recorded travel time and the estimated travel time for a trip is 70.8 seconds for the 12, 767 trips (average trip length 5,226 meters). Overall, this research provides the first highly reliable and fully evaluated series of GIS models to automatically process GPS collected travel route data. The results will increase the confidence and reliability of GPS usage for route choice research and other transportation planning exercises.
Modeling Route Choice Of Utilitarian Bikeshare Users From Gps Data
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Author : Ranjit Khatri
language : en
Publisher:
Release Date : 2015
Modeling Route Choice Of Utilitarian Bikeshare Users From Gps Data written by Ranjit Khatri and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
This research examines the behavior of bikeshare users from Grid Bikeshare Program in Phoenix, Arizona under two behavioral frameworks: facility usage assessment and route choice assessment. The analysis is performed for the two different categories of subscribers: registered and casual subscribers. This is the first study that uses the real-time GPS data from bikeshare users to model their route preferences. The data used for this study were obtained from 9,101 trips made by 1,866 bikeshare. An important aspect of this bikeshare is that it allows non-station origin and destinations. The GPS points collected from the trips made by bikeshare users were matched to the street base network to determine the attributes of the route followed by the cyclists. Facility usage assessment included the determinations of use of roadway segments based on Annual Average Daily Traffic, posted speed limit, and roadway classification. Similarly, wrong direction riding behavior on the road was compared for one-way versus two-way roads and road segments with bicycle facilities versus without bicycle-facilities. Route choice decisions were modeled using the Path Size Logit model, which is based on a Multinomial Logit framework. The major findings include behavioral differences between the two groups of users such as average distance travelled, time of the day and day of the week variation and composition of the total users. Registered users, although fewer in number, made significant number of trips. Casual users were involved more in wrong direction riding in forty selected road segments from Downtown of Phoenix. The results from the discrete route choice model show that riders were very sensitive to travel distance, with positive utility towards using bike-friendly infrastructure. Having bike-specific infrastructures for the complete route is equivalent to decreasing distance by 44.9% (53.3% for casual users). Left turns imposed higher disutility for casual users as compared to right turns. A number of signalized intersections had a positive effect in selecting the route whereas the proportion of one-way segments, traffic volume and length of the route had a negative influence on route choice.
Estimating A Toronto Pedestrian Route Choice Model Using Smartphone Gps Data
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Author : Gregory David Lue
language : en
Publisher:
Release Date : 2017
Estimating A Toronto Pedestrian Route Choice Model Using Smartphone Gps Data written by Gregory David Lue and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
City planning has an emphasis on working towards creating walkable cities with boulevards, wide sidewalks, and social spaces. This study uses revealed preference GPS data collected through a smartphone-based travel survey and discrete choice modelling techniques to determine pedestriansâ preferences towards street infrastructure, built environment, and land use. A path size logit model with stochastic route choice generation choice set was used for this model. The results of the model showed that distance, the number of turns, the number of signalized intersections, and distance along links with sidewalks on both sides of the street were significant variables in the route choice model. Turns are found to be equivalent to an additional 32m, signalized intersections are equivalent to a reduction of 34m, and travel along streets with sidewalks on both sides of the road is perceived as 33% shorter than streets with other sidewalk conditions.
Route Choice Modeling Using Gps Based Travel Surveys
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Author : Sivaramakrishnan Srinivasan
language : en
Publisher:
Release Date : 2013
Route Choice Modeling Using Gps Based Travel Surveys written by Sivaramakrishnan Srinivasan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Global Positioning System categories.