A risk‐averse user equilibrium model for route choice problem in signal‐controlled networks

Lam, William H. K.; Chan, Kalok; Li, Zhichun; Bell, M.G.

doi:10.1002/atr.122

Cited by 19 publications

(11 citation statements)

References 24 publications

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“…The GA results show that the modes of cross intersections (8,10,11,15,16,20,22) are respectively mode (4,4,2,4,2,2,3). TABLE I indicates the resultant link flows and total network travel cost under three schemes: Scheme I in which all intersections in the network are installed the signal light (mode 1), Scheme II in which all intersections in the network are chosen two-way separation overpass (mode 4), and Scheme III in which the mode of each intersection in the network is determined according to the model (15)-(17) (i.e.…”

Section: Numerical Studymentioning

confidence: 98%

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Optimal mode of each intersection in a congested road network

Tao

Zhang

2014

17th International IEEE Conference on Intelligent Transportation Systems (ITSC)

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This paper proposes a model to investigate the mode (signalized, one-way separation overpass or two-way separation overpass) of each intersection in a congested road network. In the proposed model, the interaction between intersection modes and travelers' route choices is explicitly considered, and the traffic signal parameters (signal cycle time, green time) and vehicle delays at the intersections are endogenously determined by empirical formulae. The proposed model is formulated as a 0-1 integer bi-level programming problem. The upper level of the model aims to minimize total network cost (including travel cost and construction cost) by determining the optimal mode of each intersection in the network, while the lower level is a deterministic network user equilibrium problem that considers both link travel time and intersection delay. A genetic algorithm based solution approach is developed to solve the proposed model. A numerical example is given to show the capability of the proposed solution algorithm in seeking the optimal intersection modes, and the importance of reasonably choosing the intersection modes in improving the performance of transportation system in terms of total cost, and the order to construct the overpasses.

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Section: Numerical Studymentioning

confidence: 98%

“…MODE OF EACH INTESECTION UNDER DIFFERENT INVEST MENTSCombination of intersection modes(8,10,11,15,16,20,22) …”

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confidence: 99%

Optimal mode of each intersection in a congested road network

Tao

Zhang

2014

17th International IEEE Conference on Intelligent Transportation Systems (ITSC)

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“…The link travel time t a ( v a ) in Equation can be calculated using the following Bureau of Public Roads type function (see e.g., )

t_{a} (v_{a}) = t_{a}^{0} [1 + 0.5 \times {((), \frac{v_{a}}{C_{a}})}^{2}]

where

t_{a}^{0}

is the free‐flow travel time on link a .…”

Section: Basic Considerationsmentioning

confidence: 99%

Traffic signal timing problems with environmental and equity considerations

2013

J of Advced Transportation

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SUMMARYTraffic signal timings in a road network can not only affect total user travel time and total amount of traffic emissions in the network but also create an inequity problem in terms of the change in travel costs of users traveling between different locations. This paper proposes a multi-objective bi-level programming model for design of sustainable and equitable traffic signal timings for a congested signalcontrolled road network. The upper level of the proposed model is a multi-objective programming problem with an equity constraint that maximizes the reserve capacity of the network and minimizes the total amount of traffic emissions. The lower level is a deterministic network user equilibrium problem that considers the vehicle delays at signalized intersections of the network. To solve the proposed model, an approach for normalizing incommensurable objective functions is presented, and a heuristic solution algorithm that combines a penalty function approach and a simulated annealing method is developed. Two numerical examples are presented to show the effects of reserve capacity improvement and green time proportion on network flow distribution and transportation system performance and the importance of incorporating environmental and equity objectives in the traffic signal timing problems.

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“…There have been some examples of incorporating accident risk into vehicles' routing choices [7]- [9]. However, this work has either relied on static (or only slowly-changing) accident risk models, global knowledge across the road network, or both.…”

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confidence: 99%

On road network utility based on risk-aware link choice

Fitzgerald

Landfeldt

2013

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)

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Abstract-We have previously shown how it is possible to lower accident risk levels while at the same time increasing traffic flows with the aid of vehicular ad-hoc networks. In this paper, we extend the online traffic accident risk mitigation system to include link choice. We develop an algorithm that allows vehicles to choose road links that provide the current maximal utility, based on information received over a vehicular network, whilst remaining below acceptable risk levels. Additionally, we investigate how to improve the performance of this algorithm by considering the effect a vehicle's link choice has on the utility of other vehicles. We introduce a social penalty for reducing other vehicles' utility and investigate the effects of including this as a factor in vehicles' link choices. The resulting system sheds new light on the problem of effective link choice by route selection algorithms and highlights the potential that exists in VANET-based traffic management.

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A risk‐averse user equilibrium model for route choice problem in signal‐controlled networks

Cited by 19 publications

References 24 publications

Optimal mode of each intersection in a congested road network

Optimal mode of each intersection in a congested road network

Traffic signal timing problems with environmental and equity considerations

On road network utility based on risk-aware link choice

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