Origin-Destination Trip Matrix Development: Conventional Methods versus Mobile Phone Data
نویسندگان
چکیده
منابع مشابه
Development of origin–destination matrices using mobile phone call data
43 In this research, we propose a methodology to develop OD matrices using mobile phone Call 44 Detail Records (CDR), which consist of time stamped tower locations with caller IDs, and 45 limited traffic counts. CDR from 2.87 million users from Dhaka, Bangladesh over a month and 46 traffic counts from 13 key locations of the city over 3 days of the same period are used in this 47 regard. The in...
متن کاملThe Elevator Trip Origin-Destination Matrix Estimation Problem
We present a constraint programming formulation for the elevator trip origin-destination matrix estimation problem, and propose different approaches to solve the problem. An elevator trip consists of successive stops in one direction of travel with passengers inside the elevator. It can be defined as a directed network, where the nodes correspond to the stops on the trip, and the arcs to the po...
متن کاملCompressive Origin-Destination Matrix Estimation
The paper presents an approach to estimate OriginDestination (OD) flows and their path splits, based on traffic counts on links in the network. The approach called Compressive Origin-Destination Estimation (CODE) is inspired by Compressive Sensing (CS) techniques. Even though the estimation problem is underdetermined, CODE recovers the unknown variables exactly when the number of alternative pa...
متن کاملA maximum entropy-least squares estimator for elastic origin- destination trip matrix estimation
It is well known that the origin-destination (O-D) flow table of a subnetwork is not only determined by trip generation and distribution, but also by traffic routing and diversion, due to the existence of internal-external, external-internal and externalexternal flows. This result indicates the variable nature of subnetwork O-D flows. This paper discusses an elastic O-D flow table estimation pr...
متن کاملOrigin-destination Matrix Estimation for Sri Lanka Using Mobile Network Big Data
In this paper we discuss the potential of mobile network big data (MNBD) for providing insights for transportation planning that can supplement traditional methodologies. Adapting recently developed techniques for analyzing Big Data, we demonstrate their applicability to the Sri Lankan context. The paper assess the efficacy of two different methodologies for providing insights related to transp...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Transportation Research Procedia
سال: 2017
ISSN: 2352-1465
DOI: 10.1016/j.trpro.2017.07.007