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Uncertainty-aware human-like driving policy learning with deep Bayesian inverse reinforcement learning 利用深度贝叶斯逆强化学习实现不确定性感知的类人驾驶策略学习
IF 3.1 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-09-02 DOI: 10.1080/23249935.2024.2318621
Di Zeng , Ling Zheng , Xiantong Yang , Yinong Li
The application of deep reinforcement learning in driving policy learning for automated vehicles is limited by the difficulty of designing reward functions. Most existing inverse reinforcement learning (IRL) methods make a structure assumption on the reward function and omit the uncertainty of neural networks. In view of this, this paper proposes a novel deep Bayesian IRL method that addresses both the reward function designing and the uncertainty-measuring issues by learning an approximate posterior distribution over the reward function. Furthermore, we propose to train uncertainty-aware human-like driving policies by maximising the predicted reward and penalising its uncertainty. Finally, the proposed methods were validated in simulated highway driving scenarios. The results show that AVRL models uncertainty and learns reward functions significantly outperforming the existing IRL method applied in automated driving. It was also found that penalising the uncertainty of the reward function during policy training improves the success rate and human likeness of the learned policy.
深度强化学习在自动驾驶汽车驾驶策略学习中的应用受到设计奖励函数难度的限制。大多数现有的反强化学习方法都是在...
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引用次数: 0
Efficient asymmetric reposition strategy of rolling stock for urban rail transit systems 城市轨道交通系统机车车辆的高效非对称重新定位策略
IF 3.1 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-09-02 DOI: 10.1080/23249935.2023.2294267
Qian Zhu , Yun Wang , Pan Shang , Xiaoning Zhu
Balancing energy efficiency with high-quality service on urban rail lines with highly asymmetric passenger demand is a crucial yet challenging issue. This paper proposes an efficient asymmetric rolling stock reposition strategy to simultaneously optimize the train timetable, speed profiles and rolling stock circulation, given the passenger demand in the undersaturated direction and timetable in the oversaturated direction. By constructing space-time networks for passengers and rolling stocks, respectively, an integer linear programming model is formulated by considering the tradeoff between the passenger travel time and train energy cost. A rolling horizon scheme incorporating the Lagrangian relaxation decomposition technique is designed, which can be decomposed into two subproblems by relaxing the capacity constraints. The effectiveness of our proposed methodology is validated through numerical experiments on a test network and the Beijing Batong Line, demonstrating that the optimized train circulation plan significantly reduces energy consumption while incurring a minimal increase in travel time.
在乘客需求高度不对称的城市轨道线路上,如何平衡能源效率与优质服务是一个至关重要但又极具挑战性的问题。本文提出了一种高效的非对称列车运行模式。
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引用次数: 0
Cooperative design of feeder bus and bike-sharing systems 接驳巴士和共享单车系统的合作设计
IF 3.1 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-09-02 DOI: 10.1080/23249935.2024.2318618
Miaoqing Hu , W. Y. Szeto , Yue Wang
Feeder services, which provide travellers effective access from local areas to trunk-line systems, are essential, especially when the long-haul trunk routes are designed with large spacing between stations. Apart from the short-haul bus, the development of bike-sharing systems has led to a powerful supplementary feeder service. Most research on feeder services focuses on the separate design of bike and bus systems, but their joint design deserves further study. This research proposes a bi-level mixed-integer programming model to simultaneously design the locations of feeder buses and shared bike stations as well as the bus routes. A modified genetic algorithm that encapsulates the fixed-point iteration and Frank-Wolfe algorithms is developed to solve the model for large network applications. Numerical examples are given to compare the joint design with the separate design. The key factors that affect the design outcomes are investigated. The effects of joint design on operators and travellers are also discussed.
支线服务为旅客提供从当地到干线系统的有效通道,这一点至关重要,尤其是当长途干线的设计间距较大时。
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引用次数: 0
Applying an improved calibration method in the safety evaluation framework for the open tolling system 一种改进的标定方法在开放式收费系统安全评价框架中的应用
IF 3.1 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-09-02 DOI: 10.1080/23249935.2023.2270759
Seung-oh Son , Kyeongju Kwon , Juneyoung Park , Mohamed Abdel-Aty
This study proposed an improved calibration method in the safety evaluation framework and analysed the safety effect of installing the open road tolling (ORT) system. Although the ORT system in South Korea has recently installed in many tollgate sections, it is impossible to collect statistically significant crash data. Therefore, the safety benefits were estimated and compared by (1) applying the general calibration way suggested in the Highway Safety Manual, (2) the recent calibration research from Florida and (3) the improved calibration method suggested in this study. In the result, safety improvement effect of ORT installation was 43% to 51%. Additionally, the calibration function using the quadratic model showed the best performance. This study is meaningful in that the safety effectiveness was estimated using the calibration method when the sample size was insufficient, and it utilises new functions to predict nonlinear relationships that are difficult to calibrate with simple linear relationships.
本研究提出了一种改进的安全评价框架标定方法,并对安装开放式道路收费系统的安全效果进行了分析。虽然最近在韩国的许多收费站路段安装了ORT系统,但无法收集具有统计学意义的撞车数据。因此,通过(1)采用公路安全手册中建议的一般校准方法,(2)佛罗里达州最近的校准研究和(3)本研究提出的改进校准方法来估计和比较安全效益。结果表明,安装ORT后的安全改善效果为43% ~ 51%。此外,使用二次模型的校准函数表现出最好的性能。本研究的意义在于,在样本量不足的情况下使用校准方法估计安全有效性,并且利用新的函数来预测简单线性关系难以校准的非线性关系。
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引用次数: 0
Integrated physical and service network design of suburban rail under the coordination of urban rail 城市轨道协调下的市郊轨道综合物理和服务网络设计
IF 3.1 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-09-02 DOI: 10.1080/23249935.2024.2302477
Xinmei Chen , Virginie Lurkin , Dian Wang , Qiyuan Peng , Siyu Tao
Motivated by a released official policy in China to promote the development of suburban rail within metropolitan areas, this paper investigates the suburban rail network design problem by integrating the physical network and the service network design, while considering a higher level of passenger satisfaction by assigning passengers to trains rather than to service routes widely adopted in previous works. The physical network design problem lies in determining the location of the suburban stations and suburban section tracks to be newly constructed, by considering the coordination of the existing urban rail network. The service network design problem aims to decide the newly operated service routes and the corresponding frequency and timetable of vehicles running on these service routes. We formulate the studied problem as a mixed integer linear programming (MILP) model, which minimises the weighted sum of the construction cost, operation costs, and generalised cost of passengers. Many practical requirements are considered to ensure the attractiveness of the computed solutions. A variable neighbourhood search-based (VNS-based) heuristic is designed to efficiently solve instances with different scales, including hypothetical instances and a practical-size real-world instance generated based on the Chongqing metropolitan in China.
在中国官方发布的促进大都市圈内市郊铁路发展政策的推动下,本文研究了市郊铁路网的设计问题,通过对市郊铁路网的设计进行综合分析,提出了市郊铁路网的设计方案。
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引用次数: 0
Artificial intelligence in automatic passenger counting: cost-efficient validation using the partitioned equivalence test 自动乘客计数中的人工智能:使用分区等效检验的成本效益验证
IF 3.1 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-09-02 DOI: 10.1080/23249935.2023.2267702
David Ellenberger , Michael Siebert
In Automatic Passenger Counting (APC), the demand for very low errors has been fueled by applications like revenue sharing, which amounts to massive annual sums. As a consequence, APC validation costs are increasing and this work presents a solution to increase the efficiency of initial or recurrent, e.g. yearly, validations. The new approach, the partitioned equivalence test, guarantees the same bounded, low user risk while reducing efforts in comparison to established (equivalence) test procedures. This involves a pre-classification step, which selects the more informative bits of data (e.g. footage). Different use cases are evaluated: from entirely manual to algorithmic, artificial intelligence assisted workflows. Already for manual counts, the new approach can be used as a drop-in replacement to reduce validation costs, while savings in algorithmic use cases demonstrated that cost halving is possible. Due to the user risk being controlled no additional technical requirements are introduced.
在自动乘客计数(APC)中,像收益共享这样的应用推动了对低误差的需求,这相当于每年的巨额金额。因此,APC验证成本正在增加,这项工作提供了一种提高初始或重复验证效率的解决方案,例如每年一次的验证。新的方法,分区等价测试,保证了相同的有界、低用户风险,同时减少了与已建立的(等价)测试过程相比的工作量。这涉及到一个预分类步骤,它选择更有信息量的数据位(例如镜头)。评估了不同的用例:从完全手动到算法、人工智能辅助的工作流。对于手动计数,新方法可以作为替代来降低验证成本,而算法用例的节省表明,成本减半是可能的。由于控制了用户风险,因此没有引入额外的技术需求。
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引用次数: 0
Analysis of discretionary lane-changing behaviours of autonomous vehicles based on real-world data 基于真实世界数据的自动驾驶车辆自主变道行为分析
IF 3.1 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-09-02 DOI: 10.1080/23249935.2023.2288636
Xiao (Luke) Wen , Chunxi Huang , Sisi Jian , Dengbo He
This study aims to quantify the impact of discretionary lane-changing (DLC) on following vehicles (FVs) in the target lane using real-world dataset. The Waymo Open Dataset is used to identify the differences between autonomous vehicles (AVs) DLC and human-driven vehicles (HDVs) DLC maneuvers and compare their impacts on the driving volatility. Then, a block maxima (BM) model is applied to estimate crash risks. Finally, multivariate adaptive regression splines (MARS) is adopted to model gap acceptance behaviors of AV and HDV. Compared to HDV DLC, AV DLC leads to lower speed and yaw rate volatility and smaller acceleration rates of FVs. Further, the BM model reveals that the crash risk in AV DLC events is half of that in HDV DLC events. Additionally, MARS show that AV and HDV accept different lead gap. These findings highlight the benefits of mixing AVs in traffic and guide the improvement of AV controllers.
本研究旨在使用真实世界数据集,量化自由变道(DLC)对目标车道上跟随车辆(fv)的影响。Waymo开放数据集用于识别…
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引用次数: 0
Timing co-evolutionary path optimisation method for emergency vehicles considering the safe passage 考虑安全通道的应急车辆时序协同进化路径优化方法
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-05-04 DOI: 10.1080/23249935.2023.2253477
Jiabin Wu , Yifeng Lin , Weiwei Qi
Emergency vehicles encounter traffic accidents at intersections of the network frequently, which seriously threatens the lives of rescue teams and patients. To improve the driving safety and travel efficiency of emergency vehicles, this study proposes a new method of timing co-evolutionary path optimisation for emergency vehicles based on the safety evaluation of intersections in an uncertain environment. First, the associated benefit calculation of emergency priority for vehicles passing through the nodes and road sections is provided then. Second, a mathematical description of the emergency vehicle path optimisation model is proposed, and its primary optimisation objective is to minimise travel time. A secondary optimisation objective based on a flexible time window is proposed to optimise the risk coefficient of the rescue path. Finally, an improved ripple-spreading algorithm is designed to find the optimal path. The findings can help to provide auxiliary decision support for the path selection of emergency rescue actions.
应急车辆在路网交叉口频繁发生交通事故,严重威胁到救援人员和患者的生命安全。为提高应急车辆的行驶安全性和出行效率,提出了一种基于不确定环境下交叉口安全评价的应急车辆时序协同进化路径优化方法。首先,给出了通过节点和路段的车辆应急优先级的关联效益计算。其次,提出了应急车辆路径优化模型的数学描述,该模型的主要优化目标是最小化行驶时间。提出了基于柔性时间窗的二次优化目标,对救援路径的风险系数进行优化。最后,设计了一种改进的纹波扩散算法来寻找最优路径。研究结果可为应急救援行动路径选择提供辅助决策支持。
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引用次数: 0
Joint operation planning of drivers and trucks for semi-autonomous truck platooning 半自动卡车队列中驾驶员和卡车的联合作业规划
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-05-04 DOI: 10.1080/23249935.2023.2266041
Yilang Hao , Zhibin Chen , Jiangang Jin , Xiaotong Sun
Semi-autonomous truck platooning, a futuristic and promising traveling mode of trucks on highways, has received extensive attention as autonomous driving gains more maturity. Under the semi-autonomous platooning mode, rather than requiring a human driver for each truck in the platoon, only one human driver is needed for the leading truck, and all following trucks can be controlled by autonomous driving and wireless communication technology. Therefore, in addition to saving energy, such a technology can help reduce labor costs by using fewer drivers to fulfill the same demand. Compared to traditional truck platooning, the schedules of drivers under semi-autonomous truck platooning may not be exactly the same as trucks, which are usually neglected in recent studies. Therefore, in this paper, we make the first attempt to develop a mathematical modeling framework to optimise the operation plan of drivers and trucks interdependently. To be mentioned, the truck fleet is equipped with the semi-autonomous platooning function and time windows. Specifically, the operation plan will dictate the number of drivers to be dispatched, and traveling routes and time schedules of drivers and trucks interdependently with the objective to minimise the total operation cost, including drivers' fixed dispatch cost, on-road labor cost, and energy consumption cost while fulfilling all delivery demands. To tackle the large-scale problem in a timely manner, a tailored Lagrangian Relaxation approach is proposed to solve the model. Numerical experiments are conducted to demonstrate the performance of the proposed modeling framework and validate the feasibility and efficiency of the proposed solution algorithm.
随着自动驾驶技术的日益成熟,卡车在高速公路上行驶的一种未来的、有前途的卡车行驶方式——半自动卡车队列行驶受到了广泛的关注。在半自动队列模式下,队列中每辆卡车不需要一名人工驾驶,领头卡车只需一名人工驾驶,所有跟随的卡车都可以通过自动驾驶和无线通信技术进行控制。因此,除了节约能源之外,这种技术还可以通过使用更少的司机来满足相同的需求,从而帮助降低劳动力成本。与传统的卡车队列驾驶相比,半自动卡车队列驾驶下驾驶员的日程安排可能与卡车不完全相同,这一点在最近的研究中经常被忽视。因此,在本文中,我们首次尝试建立一个数学建模框架来优化司机和卡车的相互依赖的操作计划。值得一提的是,卡车车队配备了半自动队列功能和时间窗口。具体而言,作业计划将决定需要派遣的司机数量,以及司机和卡车的行驶路线和时间安排,其目标是在满足所有交付需求的同时最小化总运营成本,包括司机的固定调度成本、道路人工成本和能源消耗成本。为了及时解决大规模问题,提出了一种定制的拉格朗日松弛方法来求解模型。通过数值实验验证了所提建模框架的性能,并验证了所提求解算法的可行性和有效性。
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引用次数: 0
Safe and efficient manoeuvring for emergency vehicles in autonomous traffic using multi-agent proximal policy optimisation 基于多智能体近端策略优化的自主交通中应急车辆安全高效机动
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-05-04 DOI: 10.1080/23249935.2023.2246586
Leandro Parada , Eduardo Candela , Luis Marques , Panagiotis Angeloudis
Manoeuvring in the presence of emergency vehicles is still a major issue for vehicle autonomy systems. Most studies that address this topic are based on rule-based methods, which cannot cover all possible scenarios that can take place in autonomous traffic. Multi-Agent Proximal Policy Optimisation (MAPPO) has recently emerged as a powerful method for autonomous systems because it allows for training in thousands of different situations. In this study, we present an approach based on MAPPO to guarantee the safe and efficient manoeuvring of autonomous vehicles in the presence of an emergency vehicle. We introduce a risk metric that summarises the potential risk of collision in a single index. The proposed method generates cooperative policies allowing the emergency vehicle to go at $ 15 % $ 15% higher average speed while maintaining high safety distances. Moreover, we conduct a comprehensive evaluation of our method in a wide range of scenarios, including assessing the trade-offs between traffic efficiency and safety, measuring the scalability of the approach with respect to the number of autonomous vehicles, analysing different distributions of mixed human and autonomous traffic, and examining the various levels of cooperation and competition among agents.
在紧急车辆存在的情况下进行机动仍然是车辆自主系统的一个主要问题。大多数关于这一主题的研究都是基于规则的方法,无法涵盖自动交通中可能发生的所有场景。多智能体近端策略优化(MAPPO)最近成为自主系统的一种强大方法,因为它允许在数千种不同的情况下进行训练。在这项研究中,我们提出了一种基于MAPPO的方法来保证自动驾驶车辆在紧急车辆存在时的安全有效机动。我们引入了一个风险度量,将潜在的碰撞风险总结为单个指标。所提出的方法产生合作策略,允许紧急车辆以高于平均速度15%的速度行驶,同时保持较高的安全距离。此外,我们在广泛的场景下对我们的方法进行了全面的评估,包括评估交通效率和安全之间的权衡,测量方法在自动驾驶车辆数量方面的可扩展性,分析人类和自动驾驶混合交通的不同分布,以及检查代理之间的不同层次的合作和竞争。
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引用次数: 0
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Transportmetrica A-Transport Science
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