The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China.
Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, Netherlands.
Front Public Health. 2022 Aug 2;10:976495. doi: 10.3389/fpubh.2022.976495. eCollection 2022.
The rapid development of the economy has promoted the growth of freight transportation. The truck service areas on expressways, as the main places for truck drivers to rest, play an important role in ensuring the driving safety of trucks. If these service areas are constructed densely or provide a plentiful supply of parking areas, they are costly to construct. However, if the distance between two adjacent truck service areas is very large or the number of truck parking spaces in service areas is small, the supply will fail to meet the parking needs of truck drivers. In this situation, the continuous working time of truck drivers will be longer, and this is likely to cause driver fatigue and even traffic accidents. To address these issues, this paper established a non-linear optimization model for truck service area planning of expressways to optimize truck driving safety. An improved genetic algorithm is proposed to solve the model. A case study of a 215.5-kilometers-length section of the Guang-Kun expressway in China was used to demonstrate the effectiveness of the model and algorithm. As validated by this specific case, the proposed model and solution algorithm can provide an optimal plan for the layout of truck service areas that meet the parking needs of truck drivers while minimizing the service loss rate. The research results of this paper can contribute to the construction of truck service areas and the parking management of trucks on expressways.
经济的快速发展促进了货运运输的增长。高速公路上的卡车服务区作为卡车司机休息的主要场所，在确保卡车驾驶安全方面发挥着重要作用。如果这些服务区建设得过于密集或提供大量的停车位，那么建设成本将会很高。然而，如果相邻的两个卡车服务区之间的距离非常大，或者服务区内的卡车停车位数量很少，那么供应将无法满足卡车司机的停车需求。在这种情况下，卡车司机的连续工作时间将会更长，这可能会导致司机疲劳甚至交通事故。为了解决这些问题，本文建立了一个高速公路卡车服务区规划的非线性优化模型，以优化卡车驾驶安全。提出了一种改进的遗传算法来解决这个模型。本文采用了中国广昆高速公路 215.5 公里路段的案例进行验证，以验证模型和算法的有效性。通过这个具体案例的验证，本文提出的模型和解决方案算法可以为卡车服务区的布局提供一个最优的规划，满足卡车司机的停车需求，同时将服务损失率降到最低。本文的研究结果可以为高速公路上的卡车服务区建设和卡车停车管理提供参考。
