Integration of selecting and scheduling urban road construction projects as a time-dependent discrete network design problem

Hosseininasab, Seyyed-Mohammadreza; Shetab-Boushehri, Seyyed-Nader

doi:10.1016/j.ejor.2015.05.039

Cited by 45 publications

(25 citation statements)

References 22 publications

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“…Some researchers have investigated the effectiveness of AV dedicated lanes using a bi-level framework. The concept of a bi-level framework has been applied to several problems in the context of transportation systems (Hosseininasab and Shetab-Boushehri, 2015;Gong and Fan, 2016;Hosseininasab et al, 2018;Miralinaghi et al, 2019bMiralinaghi et al, , 2020a. In their framework, the metropolitan authority at the upper level decides on the optimal plan for AV dedicated lanes based on the travel decisions of travelers at the lower level.…”

Section: Lane Management For Avsmentioning

confidence: 99%

Promoting Autonomous Vehicles Using Travel Demand and Lane Management Strategies

Seilabi

Tabesh

Davatgari

et al. 2020

Front. Built Environ.

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A key challenge facing cities of today is the persistent and growing urban congestion that has significant adverse effects on economic productivity, emissions, driver frustration, and quality of life. The concept of smart cities, which can revolutionize the management of metropolitan transportation operations and infrastructure, shows great promise in mitigating this problem. Specifically, the automation and connectedness (A&C) of smart city entities such as its infrastructure, services, and vehicles, can be helpful. In this regard, this paper focuses on the potential of autonomous vehicles (AVs) and AV infrastructure, particularly during prospective transition era where there will be mixed streams of AVs and human driven vehicles (HDVs). The paper considers two aspects of this potential: connectivity-enabled travel demand management and travel infrastructure supply through lane management. To demonstrate the opportunity associated with this potential, this paper first presents an AV-enabled tradable credit scheme (TCS) to manage travel demand. Here, the transportation authority distributes travel credits to travelers directly and instantaneously using the AV's A&C features. Travelers use their A&C features to pay these credits for travel at specific locations or times-of-day according to their choices of lane types and links. With regard to supply, this paper considers that the road network consists of two lane types: AV-dedicated, and mixed traffic lanes, and develops a scheme for travel demand and lane management strategies in the AV transition era (TLMAV). Firstly, the paper models the expected travel choices based on user equilibrium concepts, at different levels of AV market penetration. Then, the existence of the optimal solution in terms of link flows and the prevailing travel credit price is demonstrated. Then the paper establishes the optimal TLMAV that minimizes total travel time subject to user equity constraints. The results demonstrate the extent to which HDV users will suffer an increase in travel cost if equity is not considered in the model. The results also show how the transportation agency can use TLMAV to keep HDV travel costs to acceptable levels, particularly during the early stages of the AV transition period. Further, the paper shows how TLMAV could be designed to gradually diminish inequity effects so that travelers, in the long term, are motivated to shift to AVs.

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Section: Lane Management For Avsmentioning

confidence: 99%

Promoting Autonomous Vehicles Using Travel Demand and Lane Management Strategies

Seilabi

Tabesh

Davatgari

et al. 2020

Front. Built Environ.

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“…Time dimension was also introduced in other studies. For instance, Kim et al [48] formulated a time-dependent DNDP framework to address the project scheduling problem; Ukkusuri and Patil [49] developed a multiperiod flexible network design model with demand uncertainty and demand elasticity; Hosseininasab and Shetab-Boushehri [50] integrated project selection and scheduling into a single time-dependent DNDP model.…”

Section: Time-dependent Network Designmentioning

confidence: 99%

Time-Dependent Transportation Network Design considering Construction Impact

Song

Zhang

2018

Journal of Advanced Transportation

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A traditional discrete network design problem (DNDP) always assumes transportation infrastructure projects to be one-time events and ignores travelers' delays caused by construction work. In fact, infrastructure construction usually lasts for a long time, and the impact on traffic can be substantial. In this paper, we introduce time dimension into the traditional DNDP to explicitly consider the impact of road construction and adopt an overtime policy to add flexibility to construction duration. We address the problem of selecting road-widening projects in an urban network, determining the optimal link capacity, and designing the schedule of the selected projects simultaneously. A time-dependent DNDP (T-DNDP) model is developed with the objective of minimizing total weighted net user cost during the entire planning horizon. An active-set algorithm is applied to solve the model. A simple example network is first utilized to demonstrate the necessity of considering the construction process in T-DNDP and to illustrate the tradeoff between the construction impact and the benefit realized through capacity extension. We also solve the T-DNDP model with data from the Sioux Falls network, which contains 24 nodes, 76 links, and 528 origin-destination (O-D) pairs. Computational results for the problem are also presented.

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“…Conventionally, DNDP is employed to optimize the topology of a traffic network [28,[34][35][36]. It can be used to describe the problem whether to add a new link or whether to expand the capacity of existing links in the network.…”

Section: Introductionmentioning

confidence: 99%

Road Maintenance Optimization Model Based on Dynamic Programming in Urban Traffic Network

Cheng

2018

Journal of Advanced Transportation

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Urban road maintenance is an important part of urban traffic management. However, in modern cities, road maintenance work needs to occupy some traffic resources; therefore, unreasonable road maintenance schemes often lead traffic networks to unexpected large-scale congestion. In this paper, a dynamic programming model is proposed in order to minimize the delay caused by road maintenance scheme. This model can obtain a globally optimal maintenance scheme which contains the decisions and sequence for every stage of maintenance. Each stage of this model can be boiled down to a discrete network design problem. This model helps make suggestions for the traffic managers with the request of minimizing the delay caused by the maintenance scheme. This paper uses two examples to illustrate this method, one is a small-scale Nguyen-Dupuis network, and the other one is a larger scale Sioux-Falls network.

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Integration of selecting and scheduling urban road construction projects as a time-dependent discrete network design problem

Cited by 45 publications

References 22 publications

Promoting Autonomous Vehicles Using Travel Demand and Lane Management Strategies

Promoting Autonomous Vehicles Using Travel Demand and Lane Management Strategies

Time-Dependent Transportation Network Design considering Construction Impact

Road Maintenance Optimization Model Based on Dynamic Programming in Urban Traffic Network

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