Real-time Estimation of Travel times on Arterial Roads – the Arrb Travel Time Model
نویسندگان
چکیده
Provision of travel time has been identified as a key road user support service which assists road authorities to improve network operation strategies and implement control measures. Travel times are commonly estimated for freeways where they are displayed to road users via variable message signs (VMS) but have proved far more difficult to calculate for arterial roads where traffic flow is interrupted. ARRB Group (ARRB) has developed the ARRB Travel Time Model (ATTM) to calculate real-time travel time estimations at link level (between two signalised intersections) using real-time System Monitoring (SM) data retrieved from SCATS. Link travel times are then summed to provide travel time estimates at segment levels (several links) and at route levels (several segments). The ATTM calculates travel time as the sum of cruise time, uniform delay and overflow delay. Initially developed in 2004 for Melbourne’s Princes Highway East, the model was extended to produce travel times for buses in dedicated bus lanes with signal priority along Melbourne’s Hoddle Street. In 2007 the ATTM was deployed for the Western Australian Reid and Tonkin highways and work is currently underway to extend this ATTM for the Auslink transport corridor from Kewdale to the Port of Fremantle. This paper describes and reviews the ARRB Travel Time Model for estimating arterial travel times for general traffic. The paper finds that the ARRB Travel Time Model is robust and has improved in its accuracy since its initial deployment (within 30% at link level, 10% at segment level and 5-10% at route level). To enhance the system, it is recommended that the system’s configuration be automatically established through interrogation of corporate data sets, additional detectors be provided at slip lanes and SCATS Strategic Approaches be allocated for all approach traffic lanes at all intersections.
منابع مشابه
Joint inversion of ReMi dispersion curves and refraction travel times using particle swarm optimization algorithm
Shear-wave velocity ( ) is an important parameter used for site characterization in geotechnical engineering. However, dispersion curve inversion is challenging for most inversion methods due to its high non-linearity and mix-determined trait. In order to overcome these problems, in this study, a joint inversion strategy is proposed based on the particle swarm optimization (PSO) algorithm. The ...
متن کاملPredicting vehicular travel times by modeling heterogeneous influences between arterial roads
Predicting travel times of vehicles in urban settings is a useful and tangible quantity of interest in the context of intelligent transportation systems. We address the problem of travel time prediction in arterial roads using data sampled from probe vehicles. There is only a limited literature on methods using data input from probe vehicles. The spatio-temporal dependencies captured by existin...
متن کاملOptimizing a Fuzzy Green p-hub Centre Problem Using Opposition Biogeography Based Optimization
Hub networks have always been acriticalissue in locating health facilities. Recently, a study has been investigated by Cocking et al. (2006)in Nouna health district in Burkina Faso, Africa, with a population of approximately 275,000 people living in 290 villages served by 23 health facilities. The travel times of the population to health services become extremely high during the rainy season, s...
متن کاملThe Special Application of Vehicle Routing Problem with Uncertainty Travel Times: Locomotive Routing Problem
This paper aims to study the locomotive routing problem (LRP) which is one of the most important problems in railroad scheduling in view of involving expensive assets and high cost of operating locomotives. This problem is assigning a fleet of locomotives to a network of trains to provide sufficient power to pull them from their origins to destinations by satisfying a rich set of operational con...
متن کاملModelling Departure Time, Destination and Travel Mode Choices by Using Generalized Nested Logit Model: Discretionary Trips (Research Note)
Despite traditional four-step model is the most prominent model in majority of travel demand analysis, it does not represent the potential correlations within different travel dimensions. As a result, some researches have suggested the use of choice modelling instead. However, most of them have represented travel dimensions individually rather than jointly. This research aims to fill this gap t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008