Day-to-day route choice control in traffic networks with time-varying demand profiles

Berg, M. van den; Schutter, Bart De; Hegyi, Andreas; Hellendoorn, Hans

doi:10.23919/ecc.2009.7074660

Cited by 4 publications

(4 citation statements)

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“…We have developed a control approach based on model predictive control to influence the route choice of drivers, using existing control measures like outflow limits or variable speed limits. In previous work (van den Berg et al (2008b(van den Berg et al ( ,a, 2009) we have considered route choice control for basic networks and constant or piecewise constant demands. In this paper we have extended the model to include networks with overlapping routes and with restricted link inflow capacities.…”

Section: Discussionmentioning

confidence: 99%

“…In van den Berg et al (2008a) we have addressed this problem by considering a limited set of discrete values for the control inputs, by considering a constant demand, and by considering linear cost functions, which allowed us to transform the MPC optimization problem into a mixed integer linear programming (MILP) problem. In van den Berg et al (2009) the introduction of piecewise constant demands resulted in an optimization problem that can be transformed into an MILP problem under certain assumptions. This approach is still valid for the extension to overlapping routes that is described in this paper.…”

Section: Optimization Algorithmsmentioning

confidence: 99%

“…In previous work (van den Berg et al (2008b,a)) we have formulated a basic route choice model for networks with nonoverlapping routes and single destinations, and we have illustrated the possibilities of route choice control for these routes. In van den Berg et al (2009) this model has been extended to include time-varying piecewise-constant demand patterns.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Control of day-to-day route choice in traffic networks with overlapping routes

Berg¹,

Schutter

Hellendoorn

et al. 2009

IFAC Proceedings Volumes

Self Cite

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Section: Discussionmentioning

confidence: 99%

Section: Optimization Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Control of day-to-day route choice in traffic networks with overlapping routes

Berg¹,

Schutter

Hellendoorn

et al. 2009

IFAC Proceedings Volumes

Self Cite

View full text Add to dashboard Cite

“…Therefore, it was transformed into a mixed-integer linear programming (MILP) problem to obtain a fast solution by introducing proper assumptions [135]. Considering the macro traffic flow analysis under fixed micro travel demand, van den Berg et al have used the MPC analysis method to discuss the evolution process of traffic flow [136], and as a continuation, van den Berg et al have also studied the macroscopic traffic flow distribution problem after introducing traffic control measures under time-varying day-to-day travel demand and have used linear piecewise functions and affine functions to simulate the MPC optimization problem and reshaped them into an MILP problem to solve [137].…”

Section: Quantitative Macro Traffic Flow Explanationsmentioning

confidence: 99%

Urban Day-to-Day Travel and Its Development in an Information Environment: A Review

Nai,

Yang,

et al. 2024

Sustainability

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Urban day-to-day travel systems generally exist in various types of cities. Their modeling is difficult due to the uncertainty of individual travelers in micro travel decision-making. Moreover, with the advent of the information age, intelligent connected vehicles, smartphones, and other types of intelligent terminals have placed urban day-to-day travel systems in an information environment. In such an environment, the travel decision-making processes of travelers are significantly affected, making it even more difficult to give theoretical explanations for urban day-to-day travel systems. Considering that analyzing urban day-to-day travel patterns in an information environment is of great significance for governing the constantly developing and changing urban travel system and, thus, of great importance for the sustainable development of cities, this paper gives a systematic review of the theoretical research on urban day-to-day travel and its development in an information environment over the past few decades. More specifically, the basic explanation of an information environment for urban day-to-day travel is given first; subsequently, the theoretical development of micro decision-making related to individual day-to-day travelers in an information environment is discussed, and the theoretical development related to changes in urban macro traffic flow, which can be recognized as the aggregation effect formed by individual micro decision-making, is also discussed; in addition, the development of understanding different types of traffic information that travelers may obtain in an information environment is discussed; finally, some important open issues related to the deep impact of information environment on urban day-to-day travel systems that require further research are presented. These valuable research directions include using information methods to fit day-to-day travel patterns of cities and implementing macro and micro integrated modeling for urban day-to-day travel systems based on complex system dynamics and even quantum mechanics.

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A link-based elastic demand equilibrium model with capacity constraints and queueing delays

Smith

2013

Transportation Research Part C: Emerging Technologies

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Day-to-day route choice control in traffic networks with time-varying demand profiles

Cited by 4 publications

References 10 publications

Control of day-to-day route choice in traffic networks with overlapping routes

Control of day-to-day route choice in traffic networks with overlapping routes

Urban Day-to-Day Travel and Its Development in an Information Environment: A Review

A link-based elastic demand equilibrium model with capacity constraints and queueing delays

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