November 2024
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17 Reads
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1 Citation
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November 2024
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17 Reads
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1 Citation
September 2024
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2 Reads
Transportation Letters The International Journal of Transportation Research
August 2024
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9 Reads
Renewable Energy
July 2024
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12 Reads
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1 Citation
IEEE Transactions on Intelligent Transportation Systems
The bunching mitigation and eco-driving of buses have traditionally been treated separately in the literature and formulated in different frameworks. Although a large amount of research has been conducted aiming at providing eco-driving advisory to drivers, impacts of bus operation are not considered. Ignoring the constraints induced by buses could result in transit service irregularity. The present work aims to bridge this gap by formulating optimal control model of buses’ eco-speed and service regularity as a non-linear program. In this study, an integrated bus eco-driving speed and holding time controller is developed to obtain the optimal eco-driving advisory and operational schedule of bus fleet. A bi-level optimization model is formulated for the whole transit line with multiple signalized intersections. The proposed model is solved by a hybrid solution algorithm, which embeds the particle swarm optimization for the upper-level problem and the pseudo-spectral method for the lower-level problem. The proposed controller is tested on real-world cases with the Simulation of Urban MObility (SUMO), and is compared to non-control, speed control, and holding control methods. Simulation results show that the proposed controller reduces the headway deviation by 78.27% and reduces total fuel consumption by 23.95%.
June 2024
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7 Reads
May 2024
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1 Read
Computer-Aided Civil and Infrastructure Engineering
The privileged permit service can be provided as an alternative to the conventional meter and reserved services in the off‐street parking lots. In view of the unbalanced demand and the simplistic off‐street parking lot management, this paper proposes a novel parking management problem for setting up and withdrawing the temporary permit‐only policy. To optimize the access rule regarding uncertainty demand on the time of day and the utilization of the parking lot, a deep Q‐learning (DQL) method is proposed to address the uncertainty and dimensionality in the framework of deep reinforcement learning (DRL). To replicate real‐world demand pattern for training deep Q network, a short‐term parking demand model is presented by integrating the long‐short term memory neural network and multivariant Gaussian process. A case study is performed on urban parking lots on university campus. The numerical experiments of a rule‐based strategy, a tabular Q‐learning (TQL) method, and the proposed DQL method are conducted to justify the effectiveness of the proposed method. The proposed method outperforms the static ( s , S ) inventory policy by 65% and TQL with linear Q‐value estimation by 15% in the total revenue. The sensitivity analyses show the DQL method is capable to handle capacity‐reduced, demand‐increased, and special‐event scenarios while the comparable strategy underperforms the proposed method
April 2024
February 2024
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1 Citation
Journal of Simulation
December 2023
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26 Reads
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6 Citations
IEEE Transactions on Intelligent Transportation Systems
This study proposes a robust route optimization model for electric Demand-Responsive Transit (e-DRT) services, where dispatched vehicles may deviate from the determined plan to serve real-time demands. In particular, online partial charging strategies are coordinated with flexible service schedules. To benefit the productivity of the e-DRT system, the route schedule and charging time are changed dynamically. A two-phase Adaptive Large Neighborhood Search (ALNS) -based heuristic is proposed to effectively solve the proposed problem. The baseline case and large-scale cases are presented to verify the effectiveness and accuracy of the proposed method. Comparisons between CPLEX and the proposed algorithm suggest that the proposed algorithm can considerably improve computational efficiency. A comparative analysis shows the proposed model takes 21% less total cost than the alternative non-robust model. Further, two sensitivity tests are designed to unveil the impacts of unmet real-time requests and the charging rate on the e-DRT’s performance.
April 2023
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22 Reads
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5 Citations
Advanced Engineering Informatics
... Since the simulation considers multi-line bus operations, buses on different routes interact at stops and the stop may not be able to accommodate high bus flows [45]. Consequently, buses may queue at the stop entrance. ...
February 2024
Journal of Simulation
... Adaptive large neighborhood search [73], [78] Decomposition heuristics [67], [91], [92] Ranking algorithms [63] Rule-based algorithms [60]- [62], [64]- [66], [94] Rolling horizon path search [95] Metaheuristic algorithms Ant colony optimization [80]- [82] Genetic algorithms [72], [74] Particle swarm optimization [90] 1) Exact Methods Spatial coordination problems are inherently non-linear, since modeling station congestion levels involves complex queuing models and non-linear coupling between station operating conditions. Nonetheless, a few works model EVRPs as BIPs and MIPs and use linear relaxations to simplify the solution procedure. ...
December 2023
IEEE Transactions on Intelligent Transportation Systems
... Similarly, the authors of the study [30] aim to create a tool that generates cargo loading plans and route sequences for efficient pallet distribution, tackling a combined vehicle routing, and loading problem. Furthermore, the paper [31] proposes a two-stage model to optimize procurement of road-rail transshipment and truck routing, fostering synergies between these transportation modes. By embracing these advancements and fostering a data-driven approach, the transportation and logistics industries can navigate economic challenges and develop more efficient and resilient operations. ...
April 2023
Advanced Engineering Informatics
... Highways, which are crucial components of the transportation network for road users, require robust safety measures to ensure collision-free travel (in theory or ideally). These measures are important not only for individual wellbeing but also for broader societal harmony (Li et al., 2023b;Wang et al., 2023). The substantial social and economic costs of road crashes underscore the urgency of addressing this issue. ...
February 2023
Networks and Spatial Economics
... Wu et al. [27] proposed a distributed restoration framework for distribution systems that includes EBs in response to existing studies that focused on centralized restorations between EBs and distribution systems, ignoring the subjectivity and privacy risk issues of EB companies. Li et al. [28] proposed a model to optimize the design parameters of a pure EB network, such as the station spacing, shift intervals and the expected charging range of batteries, considering the risks of the traditional depot charging model. Current research on the risk of EBs systems has mostly focused on considering the individual risk aspects such as peak load risk, risk due to uncertain parameters, subjectivity and privacy risk, depot charging mode risk and charging facility deployment risk, and relatively few studies have been conducted assessing the operational risk of the entire EB system, so it is worthwhile to go further to determine all the risks that may be involved to obtain a comprehensive view. ...
December 2022
Transportmetrica A: Transport Science
... However, as far as we know, there are still no studies developing takeover controllers for CACC. Past studies mostly focus on the regular operation of CACC [10][11][12][13][14]. However, in takeover maneuvers, these CACC controllers are not compatible anymore. ...
August 2022
Journal of Intelligent Transportation Systems Technology Planning and Operations
... In previous studies, some scholars incorporated Terminal Charging Technology (TCT) into their models, meaning that bus charging could only occur at depots and no in-route charging is allowed [27,38]. It is noteworthy that the prevailing charging method for BEBs in Xi'an mandates a return to the depot for charging, utilising plug-in charging, which aligns with the TCT approach. ...
September 2022
Transportation Research Part D Transport and Environment
... Bicycle model is used as the vehicle dynamics [33][34][35]. Small yaw angle assumption is adopted when linearize vehicle dynamics. To avoid large yaw angle, local linearization is conducted around the heading of parking trajectory. ...
January 2022
IEEE Intelligent Transportation Systems Magazine
... Vehicle platooning, is one of the suitable applications of IVHS, which is a technique, in which IVHS is ganized into groups to drive closer with a smaller headway than normal cars/trucks with the same velocity called platoon or convoy. Platooning equipped with the ACC/CACC systems is not only a promising way to preventing traffic congestion, increase traffic capacity and safety, but can also reduce CO2 emissions Li et al. (2022). The ACC systems as a typical type of advanced driver assistance systems is an enhancement of the traditional cruise control (CC) systems Turan (2024). ...
May 2022
Transportation Research Part D Transport and Environment
... However, these modes often exhibit notably poor performance in one or more of the three transportation aspects: mobility, accessibility, and efficiency, as summarized in Table 1. Li et al. (2023). See Aldaihani et al. (2004); Chen and Nie (2017a,b); Ramezani and Valadkhani (2023) for non-shared taxis. ...
February 2022
Transportmetrica A: Transport Science