Using Global Positioning System Data to Understand Variations in Path Choice

Author(s):  
Oliver Jan ◽  
Alan J. Horowitz ◽  
Zhong-Ren Peng

A comprehensive set of Global Positioning System (GPS) vehicle location data from Lexington, Kentucky, households was analyzed to determine if such data can be helpful in improving path choice assumptions in traffic assignment models. The portion of the data used consisted primarily of a reconstruction of the street network and the lists of street segments in each path. Analysis was based on matches of trips (e.g., pairs of trips with similar origins and destinations). Matches were obtained for trips within households and for trips across households. Statistics used to compare trips in matches were a path deviation index and the percentage of identical links. It was found that the path chosen on a trip was quite sensitive to the location of the origin and destination and that the chosen path most often differed considerably from the shortest time path across the network. Paths for trips made by the same driver were very consistent over time; paths by different drivers showed more deviations even when the trip ends were the same or very similar. As a result of this research, recommendations are made as to how GPS data on path choice can be better collected in the future for improvement of traffic assignment models.

Author(s):  
Sarosh Khan ◽  
Pawan Maini ◽  
Kittichai Thanasupsin

In the last few decades several car-following models have been proposed and tested using mainly vehicle location data. The use of high-precision Global Positioning System (GPS) data to test several car-following and collision constraint models is reported, with a critical evaluation of these models and proposal of a modified collision constraint formulation. GPS receivers typically report time-stamped location or position fixes and velocity. For a pair of leading and following vehicles, location and velocity data were used to examine estimates of acceleration, velocity, and headway by Pipes’s; modified Pitt’s, or FRESIM; CARSIM; and INTELSIM car-following models. The important aspects of collecting accurate GPS data are also highlighted.


2013 ◽  
Vol 28 ◽  
pp. e2013005 ◽  
Author(s):  
Daikwon Han ◽  
Kiyoung Lee ◽  
Jongyun Kim ◽  
Deborah H. Bennett ◽  
Diana Cassady ◽  
...  

INSIST ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 195
Author(s):  
Malikul Fanani ◽  
Kukuh Priambodo ◽  
Iklil Sulaiman ◽  
Sumardi Sumardi

In Indonesia, the number of death of accident is still pretty high with most of 70% the traffic accident is motorcycle driver who is late in getting aid and the head injury is the first order of all types of experiencing by the accident victim. Prehospital Care is an emergency service when the victim is firstly found, during the process of the transportation until the patient arrives at the hospital Thus, the purpose of this research is the application of GPS (Global Positioning System) and SMS gateway on the safety helmet in order to increase the aid post-accident. The application of GPS has an advantage to receive data from the satellite which next will be stored on arduino microcontroller. Microcontroller will retrieve the driver location data in the forms of latitude, longitude and time. Next, the driver location will be sent by microcontroller via SMS gateway service to the nearest hospital and the victim's family to make the evacuation process easy. This research is tested along the travel of Jember-Lumajang regency. The result of this research is the GPS application on the safety helmet can be applied well. The transmission of driver position coordinate data if the accident happened via sending media of SMS can be applied along with GSM signal from the provider so that the SMS sending works well.


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