Link travel time is an important evaluation index of urban arterial traffic condition. It is traditionally estimated from loop detector data and GPS probe vehicle data. The former suffers from the coverage and maintenance issues. The latter has issues related to low penetration rate. Cellphone handoff data is one alternative that may address those deficiencies with its large coverage areas and continuous detection capabilities at low cost. Existing cellular probe vehicle based travel time estimation methods are primarily designed for freeway. Limited studies have been conducted for signalised arterials. Cellular handoff data detects the time lapse between two consecutive wireless handoff points. When vehicles with on-call cellphones traverse between two handoff points, their space mean speeds can be calculated by dividing the pre-calibrated distances by the time lapses. In this study, a new cellular handoff data based arterial travel time estimation model is proposed and compared with existing models. A hybrid traffic-and-wireless simulation network is built to simulate the handoff data generation and processing. Field data are collected at an arterial corridor in Chengdu, China to establish the baseline condition. The results from the proposed model show promising performance with detection errors of link travel times mostly within 10%.
Arterial link travel time estimation considering traffic signal delays using cellular handoff data
IET Intelligent Transport Systems ; 13 , 3 ; 461-468
2018-11-21
8 pages
Article (Journal)
Electronic Resource
English
cellular probe vehicle-based travel time estimation methods , signalised arterials , handoff data generation , traffic signal delays , time lapse , space mean speeds , triggered handoff signals , arterial corridor , mobility management (mobile radio) , artificial neural network , neural nets , cellular tower data , global positioning system probe vehicle data , handoff points , virtual wireless handoff points , hybrid traffic-and-wireless simulation network , cellphone handoff data , handoff data processing , Global Positioning System , arterial link travel time estimation , China , Chengdu , urban arterial traffic conditions , cellular radio , loop detector data , data loss , maintenance issues , cellular handoff data-based arterial travel time estimation model , coverage issues
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