Results 251 to 260 of about 566,371 (309)

Transit Travel Time Reliability

Transportation Research Record: Journal of the Transportation Research Board, 2015
Transit agencies traditionally have used vehicle movement to assess service quality. However, new technologies such as automatic fare collection systems, automatic passenger counters, and automatic vehicle location devices are giving agencies a wealth of data from which critical insights can be gained about customer experience.
Hendren, Patricia   +3 more
openaire   +2 more sources

Reliability of Travel Time

Transportation Research Record: Journal of the Transportation Research Board, 2008
The reliability of the travel time on a route is widely regarded as one of the dominant factors affecting the route and departure time choices of travelers. There is still a lack of consensus on the quantitative measures that best reflect travel time reliability. This paper addresses this question from a traveler's point of view. It was concluded from
Enide A. I. Bogers   +2 more
openaire   +1 more source

Travel time reliability with boundedly rational travelers

Transportmetrica A: Transport Science, 2017
ABSTRACTThis paper presents a definition of boundedly rational confidence level (BRCL) which is the probability that a trip arrives within the shortest travel time budget plus the acceptable travel time difference (i.e. boundedly rational threshold). Using the method of data fitting, boundedly rational threshold is estimated.
Chao Sun, Lin Cheng, Jie Ma
openaire   +1 more source

Travel Time Reliability with Risk-Sensitive Travelers

Transportation Research Record: Journal of the Transportation Research Board, 2002
In recent empirical studies on values of time and reliability, many have suggested that travelers are interested not only in travel time saving but also in reduction in travel time variability. Variability introduces uncertainty for travelers such that they do not know exactly when they will arrive at their destination.
Anthony Chen, Zhaowang Ji, Will Recker
openaire   +1 more source

Multi-state travel time reliability model: Impact of incidents on travel time reliability

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2011
This paper attempts to quantify the impact of traffic incidents on travel time reliability using a newly proposed multi-state travel time reliability model. Given that the multi-state travel time reliability model provides significantly better fits when compared to using a single-mode density function, it is possible to quantify the incident impacts ...
Sangjun Park, Hesham Rakha, Feng Guo
openaire   +1 more source

Optimizing maritime travel time reliability

Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, 2012
Travel time reliability optimization problems generally cannot be formulated in direct mathematical form due to complexity of precise information. Classically, qualitative form of objective function and/or constraints does not allow the decision maker to represent it in a typical form of standard optimization model.
Prabhu Gaonkar, R.S.   +2 more
openaire   +1 more source

Estimating Path Travel-Time Reliability

2006 IEEE Intelligent Transportation Systems Conference, 2006
The estimation of path or trip travel-time reliability is critical to any advanced traveler information system. The state-of-practice procedures for estimating path travel-time reliability assumes that travel times follow a normal distribution and requires a measure of trip travel-time variance.
H.A. Rakha   +3 more
openaire   +1 more source

Improving Interstate Freeway Travel Time Reliability Analysis by Clustering Travel Time Distributions

Transportation Research Record: Journal of the Transportation Research Board, 2021
Travel time reliability quantifies variability in travel times and has become a critical aspect for evaluating transportation network performance. The empirical travel time cumulative distribution function (CDF) has been used as a tool to preserve inherent information on the variability and distribution of travel times.
Xiaoxiao Zhang   +3 more
openaire   +1 more source

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