Showing papers in "Transportmetrica in 2021"
TL;DR: This paper proposes a hybrid bus operational scheme combining the bus lane reservation strategy and the stop-skipping control, and develops a progressive hedging-based method to separate the large-scale optimization problem into sub-problems.
Abstract: The bus stop-skipping scheme is designed to reduce the number of stops and increase bus operating speed. But in a mixed traffic environment, buses can hardly maintain a high and stable operating sp...
TL;DR: Public transport is one of the most disrupted sectors of the COVID-19 pandemic with reported ridership drops up to 90% in majorly affected countries as discussed by the authors. But, as many government authorities strive to partia...
Abstract: Public transport is one of the most disrupted sectors of the COVID-19 pandemic with reported ridership drops up to 90% in majorly affected countries. As many government authorities strive to partia...
TL;DR: This study presents a framework that analytically derives the generalized string stability criterion of regular-CA platoons, and gives suggestions for CA design for obtaining optimal stability situation.
Abstract: Understanding the string stability of connected and autonomous (CA) vehicles is important for evaluating dynamics of regular-CA mixed vehicular flow Although previous studies proposed CA car-follo
TL;DR: A multiclass multilane cell transmission model to simulate traffic flow dynamics mixed with CAVs and RHVs by capturing the interaction between the two vehicle classes and the minimum headway acceptance criteria is determined.
Abstract: In view of the advantages and a promising market prospect of the emerging connected automated vehicles (CAVs), it will be very likely that the roadway is shared by CAVs and RHVs in the near future....
TL;DR: This work proposes an innovative deep learning-based mapping to cube architecture for network-wide urban traffic forecasting, called CRC3D as a hybrid method integrating CNN-RNNs and C3Ds, and compared a variety of recurrent neural network architectures.
Abstract: Traffic congestion prediction in citywide road networks is a challenging research field in metropolitan transportation operation and management. Recent advances in GPS technology offer great opport...
TL;DR: The results show that both CACC penetration rate and length of diverge influence areas exert considerable influence on road capacity and traffic safety, and the capacity will peak after an initial decrease as the C ACC penetration rate increases.
Abstract: The primary objective of this study is to evaluate how intelligent vehicles equipped with cooperative adaptive cruise control (CACC) improve freeway efficiency and safety at an off-ramp bottleneck....
TL;DR: A novel framework for modelling the network effects of instantaneous RTCI can result in improved travel experience but also substantial inaccuracy risk, and reduced impacts of the worst overcrowding experience amount to up to 30%.
Abstract: Public transport (PT) overcrowding is a notorious problem in urban transport networks. Its negative effects upon travel experience can be potentially addressed by disseminating real-time crowding i...
TL;DR: This study bridges the gap between Real-Time Risk Assessment (RTRA) and its practical implications by following the post-hoc interpretability approach and utilizing black-box graphical tools for real-time risk assessment.
Abstract: This study bridges the gap between Real-Time Risk Assessment (RTRA) and its practical implications by following the post-hoc interpretability approach and utilizing black-box graphical tools for sa...
TL;DR: A centralised way to jointly integrate an intersection control problem with vehicle trajectory planning is proposed as a bilevel optimisation problem in which the upper level is designed to minimise the total travel time by a mixed integer linear programming (MILP) model.
Abstract: Advances in autonomous and connected vehicles bring new opportunities for intelligent intersection control strategies. In this paper, we propose a centralised way to jointly integrate an intersection control problem with vehicle trajectory planning. It is formulated as a bilevel optimisation problem in which the upper level is designed to minimise the total travel time by a mixed integer linear programming (MILP) model. In contrast, the lower level is a linear programming (LP) model with an objective function to maximise the total speed entering the intersection. The two levels are coupled by the arrival time and terminal speed. By using the relationship between the safe time headway and the process time, a novel platoon-based method is developed to reduce the computational burden. Finally, simulation tests are carried out to investigate the control performance under different demands, intersection lengths, communication ranges and traffic compositions.
TL;DR: This work introduces class-specific speed functions based on two variables, being space headway for both cars and cyclists, which enables the macroscopic modelling of mixed bicycle–car traffic.
Abstract: Bicycles are gaining popularity as a mode of transport resulting in a mixed bicycle–car traffic situation on urban roads. Cyclists, however, are hardly included in traffic flow models which complic...
TL;DR: In this article, a microsimulation-oriented framework for modeling cyclists' interactions with pedestrians in shared spaces is presented, where the objective is to infer how cyclists in head-on collisions with pedestrians interact with pedestrians.
Abstract: This study presents a microsimulation-oriented framework for modeling cyclists' interactions with pedestrians in shared spaces. The objectives of this study are to 1) infer how cyclists in head-on ...
TL;DR: This work model the rolling horizon stop-skipping problem as an integer nonlinear program, and proves that it is (at least) an NP-complete decision problem which can be solved to global optimality for small-scale scenarios.
Abstract: Stop-skipping (also known as expressing) is a typical control strategy in public transit operations with a dual objective: (i) reduce the trip delays and (ii) improve the travel times of on-board p...
TL;DR: A bi-level optimization framework is proposed in which the upper level aims to locate charging stations by minimizing the total travel time and the installation costs for charging infrastructures and the lower-level captures re-routing behaviours of travellers with their driving ranges.
Abstract: Inappropriate deployment of charging stations not only hinders the mass adoption of Electric Vehicles (EVs) but also increases the total system costs This paper attempts to address the problem of
TL;DR: A substantial amount of transportation research has been gathered under China's Belt and Road Initiative (BRI), suggesting multi-dimensional impacts of the BRI on the transportation industry as mentioned in this paper.
Abstract: A substantial amount of transportation research has been gathered under China’s Belt and Road Initiative (BRI), suggesting multi-dimensional impacts of the BRI on the transportation industry. This ...
TL;DR: A safety rule-based cellular automaton (CA) model is developed, which involves bi-directional vehicular information and the influences of cooperative driving by V2V on traffic efficiency and safety are analyzed.
Abstract: Vehicle to anything (V2X), especially vehicle-to-vehicle (V2V) technology, is regarded as a promising technology to improve traffic efficiency and safety Under V2V environment, drivers can communi
TL;DR: The social groups formed, in variable proportions depending on the context, are not random, but are not randomly formed as discussed by the authors. But pedestrians are often encountered walking in the company of some social relations, rather than alone.
Abstract: Pedestrians are often encountered walking in the company of some social relations, rather than alone. The social groups thus formed, in variable proportions depending on the context, are not random...
TL;DR: Customized bus services, as a new variant of dial-a-ride services, are an attempt to provide demand-oriented bus services to commuters who submit their requests to designated information platforms.
Abstract: This study proposes an interesting customized bus service design problem by considering travel demand uncertainty. Given a fleet of heterogeneous vehicles, a mixed integer linear programming (MILP)...
TL;DR: A hybrid model, Genetic Algorithm with Attention-based Long Short-Term Memory (GA-LSTM), combining with spatial–temporal correlation analysis, is proposed in this study to predict traffic volumes on urban roads to show the superiority of the proposed model with higher accuracy and better stability.
Abstract: Exploring traffic flow characteristics and predicting its variation patterns are the basis of Intelligent Transportation Systems. The intermittent characteristics and intense fluctuation on short-t...
TL;DR: Simulation results for fairness show that platoon forming algorithms with a low mean delay sometimes are relatively unfair, indicating a potential need for balancing mean delay and fairness.
Abstract: We study intersection access control for autonomous vehicles. Platoon forming algorithms, which aim to organize individual vehicles in platoons, are very promising. To create those platoons, we slow down vehicles before the actual arrival at the intersection in such a way that each vehicle can traverse the intersection at high speed. This increases the capacity of the intersection significantly, offering huge potential savings with respect to travel time compared to nowadays traffic. We propose several new platoon forming algorithms and provide an approximate mean delay analysis for our algorithms. A comparison between the current day practice at intersections (through a case study in SUMO) and our proposed algorithms is provided. Simulation results for fairness are obtained as well, showing that platoon forming algorithms with a low mean delay sometimes are relatively unfair, indicating a potential need for balancing mean delay and fairness.
TL;DR: In this article, the lateral interactions between motorized vehicles and non-motorized vehicles (NMVs) in mixed traffic were modeled using road user trajectories from two locations in Ch
Abstract: The objective of this study is to model the lateral interactions between motorized vehicles (MVs) and non-motorized vehicles (NMVs) in mixed traffic Road user trajectories from two locations in Ch
TL;DR: This paper explores the extension of a conventional bilevel analytical static method to the dynamic context, then analyses the solutions obtained regarding both convergence to measured traffic data and structural similarity to an a priori OD matrix.
Abstract: Since OD matrices are not directly observable, indirect procedures have been developed to estimate OD matrices from traffic data. Traffic management must move toward dynamic traffic assignment mode...
TL;DR: This study used seven years of motorcycle crash data in Louisiana to determine the key relationships between the influencing factors by using Taxicab Correspondence Analysis (TCA), and showed that TCA presents a dimension-reduced map of the variable categories by developing several clusters.
Abstract: Due to the absence of protective structural surrounding and advanced restraints like the motorists, motorcyclists are considered vulnerable roadway users like pedestrians and bicyclists. Per vehicl...
TL;DR: This paper introduces the stochastic multi-modal hub location problem with direct link strategy and multiple capacity levels for cargo delivery systems under demand uncertainty.
Abstract: This paper introduces the stochastic multi-modal hub location problem with direct link strategy and multiple capacity levels for cargo delivery systems under demand uncertainty. For capturing the u...
TL;DR: In this paper, the vertical investment of a container shipping line in the port capacity in a two-port system was modeled and the relative scale of the capacity invest... was analyzed.
Abstract: We model the vertical investment of a container shipping line in the port capacity in a two-port system. Our analytical and numerical analyss suggests that the relative scale of the capacity invest...
TL;DR: The proposed agent-based simulation model is capable of modeling, scheduling and solving control strategy problems in real-time complex, dynamic and stochastic scenarios of the transport systems and performs the best when buses are not reused.
Abstract: This paper develops a real-time agent-based simulation model to optimize the dynamic bus stop-skipping and holding schemes. The proposed agent-based simulation model is capable of modeling, schedul...
TL;DR: The relationship between port infrastructure and international trade is linked inextricably since ports remain the main gateway for international trade as mentioned in this paper, and all international ports have as their givers as their gateways.
Abstract: The relationship between port infrastructure and international trade is linked inextricably since ports remain the main gateway for international trade. All international ports thus have as their g...
TL;DR: In this paper, the fairness condition of a given transit network is evaluated using the fairness criterion for sustainable urban development, and the authors focus on accessing or evaluating the fairness conditions of a transit network.
Abstract: Fairness is an important criterion for achieving sustainable urban development. While most existing studies focus on accessing or evaluating the fairness condition of a given transit network, this ...
TL;DR: This study aims to jointly optimise regular and demand responsive transit services, which can offer opportunities for leveraging on their respective advantages.
Abstract: This study aims to jointly optimise regular and demand responsive transit (DRT) services, which can offer opportunities for leveraging on their respective advantages. An optimisation model with the objective of minimising the total travel time of passengers and the total fleet size is proposed. The terminal bus stops of regular bus lines, the service area of the DRT, and the fleet size of both regular and DRT are optimised simultaneously. A rule-based optimisation preparation step is added to the proposed model to obtain a reasonable design scheme and to reduce the computational load. The model is solved using a tailored boundary-start-based two-step heuristic algorithm. The performance of the mixed network is affected by the preference of the decision maker and the operation mode adopted for the DRT service. A reduction in the operational level of the DRT results in a considerable increase in the travel time of DRT passengers.
TL;DR: This paper makes a review of the development of CA models, concerning their ability to reproduce synchronized flow as well as traffic breakdown from free flow to synchronized flow.
Abstract: Cellular automaton (CA) approach is an important theoretical framework for studying complex system behavior and has been widely applied in various research field. CA traffic flow models have the ad...
TL;DR: Results show that ignoring the correlations between input-variables can lead to inaccurate estimation of the noncompliance probability for both the individual modes and the series-system reliability.
Abstract: Reliability analysis has been used to account for uncertainties and evaluate the risk of highway geometric-designs. Despite the existence of correlations between the input design-variables, the maj...