Enhancing Network Performance in Mitigating the Impact of Traffic Accidents with Full User Information

Year 2024, , 1 - 19, 17.05.2024

Seyyed-nader Shetab-boushehri , Hossain Poorzahedy , Reza Mahmoudi

https://doi.org/10.26650/JTL.2024.1365336

Abstract

This paper presents a novel approach aimed at bolstering network resilience against traffic accidents, particularly when users possess complete information about accident locations. Two new measures are introduced to evaluate the performance of the network and the importance of a link within the network. In addition, an objective function is designed to quantify optimal trip scheduling following an accident that guides investment decisions in network infrastructure. Additionally, we propose a model for addressing the Accident Improvement Problem and put forth a heuristic algorithm to solve this model. To illustrate the feasibility and effectiveness of the proposed methodologies, we present and analyze two illustrative examples, one at a small scale and the other at a medium scale. The findings underscore how the occurrence of accidents can markedly alter the importance of a link within the network during time. Unlike the prevailing trend in existing studies, which often overlook the repercussions of accidents on traffic flow along other links, our research highlights the importance of considering the impact of newcomers on the routes of existing travelers within the network. These findings demonstrate that such considerations can significantly influence the overall performance of the network in the event of an accident.

Keywords

Network performance measure, Link importance, Accident improvement problem, Accident prevention

References

• Adele, S., Trefond-Alexandre, S., Dionisio, C., Hoyau, P.-A., 2019. Exploring the behavior of suburban train users in the event of disruptions. Transportation Research Part F: Traffic Psychology and Behaviour 65, 344-362. google scholar
• Agrawal, A.K., Yadav, S., Gupta, A.A., Pandey, S., 2022. A genetic algorithm model for optimizing vehicle routing problems with perishable products under time-window and quality requirements. Decision Analytics Journal 5, 100139. google scholar
• Ahmed, N.U., 1983. An analytical decision model for resource allocation in highway maintenance management. Transportation Research Part A: General 17, 133-138. google scholar
• Chen, A., Yang, H., Lo, H.K., Tang, W.H., 2002. Capacity reliability of a road network: an assessment methodology and numerical results. Transportation Research Part B: Methodological 36, 225-252. google scholar
• Chen, A., Zhou, Z., Chootinan, P., Ryu, S., Yang, C., Wong, S., 2011. Transport network design problem under uncertainty: a review and new developments. Transport Reviews 31, 743-768. google scholar
• Dhahir, B., Hassan, Y., 2019. Probabilistic, safety-explicit design of horizontal curves on two-lane rural highways based on reliability analysis of naturalistic driving data. Accident Analysis & Prevention 123, 200-210. google scholar
• El-Maissi, A.M., Argyroudis, S.A., Nazri, F.M., 2020. Seismic vulnerability assessment methodologies for roadway assets and networks: A state-of-the-art review. Sustainability 13, 61. google scholar
• Ghavami, S.M., 2019. Multi-criteria spatial decision support system for identifying strategic roads in disaster situations. International Journal of Critical Infrastructure Protection 24, 23-36. google scholar
• Huang, Y., Sun, D.J., Zhang, L.-H., 2018. Effects of congestion on drivers’ speed choice: assessing the mediating role of state aggressiveness based on taxi floating car data. Accident Analysis & Prevention 117, 318-327. google scholar
• Iliopoulou, C., Makridis, M.A., 2023. Critical multi-link disruption identification for public transport networks: A multi-objective optimization framework. Physica A: Statistical Mechanics and its Applications 626, 129100. google scholar
• Ji, X., Ban, X., Zhang, J., Ran, B., 2019. Moment-based travel time reliability assessment with Lasserre’s relaxation. Transportmetrica B: Transport Dynamics 7, 401-422. google scholar
• Karatas, M., Yakıcı, E., 2021. A multi-objective location analytics model for temporary emergency service center location decisions in disasters. Decision Analytics Journal 1, 100004. google scholar
• Lam, W.H., 1999. Network reliability and transport modelling. Journal of Advanced Transportation 33, 121-123. google scholar
• Lin, J., Lin, W., 2022. Transportation system vulnerability assessment considering environmental impact. Journal of advanced transportation 2022. google scholar
• Ma, C., Alam, S., Cai, Q., Delahaye, D., 2022. Critical links detection in spatial-temporal airway networks using complex network theories. IEEE Access 10, 27925-27944. google scholar
• Mahmoudi, R., Shetab-Boushehri, S.-N., Emrouznejad, A., 2022. Sustainability in the evaluation of bus rapid transportation projects considering both managers and passengers perspectives: A triple-level efficiency evaluation approach. International Journal of Sustainable Transportation 16, 1059-1077. google scholar
• Mahmoudi, R., Shetab, N., Hejazi, R., Emrouznejad, A., 2019. Determining the relative importance of sustainability evaluation criteria of urban transportation network. sustainable cities and society. google scholar
• Mahmoudi, R.S., Nader; Hejazi, Reza; Emrouznejad, Ali; Rajabi, Parisa;, 2019. A hybrid egalitarian bargaining game-DEA and sustainable network design approach for evaluating, selecting and scheduling urban road construction projects. Transportation Research Part E: Logistics and Transportation Review 130, 161-183. google scholar
• Murray-Tuite, P.M., Mahmassani, H.S., 2004. Methodology for determining vulnerable links in a transportation network. Transportation Research Record 1882, 88-96. google scholar
• Poorzahedy, H., Bushehri, S.N.S., 2003. Project Selection in Traffic Accident Prevention and Mitigation. EJTIR 3, 241-261. google scholar
• Poorzahedy, H., Bushehri, S.N.S., 2005. Network performance improvement under stochastic events with long-term effects. Transportation 32, 65-85. google scholar
• Psaltoglou, A., Calle, E., 2018. Enhanced connectivity index - A new measure for identifying critical points in urban public transportation networks. International Journal of Critical Infrastructure Protection 21, 22-32. google scholar
• Qiao, W., Lu, Y., Xiong, C., Haghani, A., 2014. A game theory approach for the measurement of transport network vulnerability from the system prospective. Transportmetrica B: transport dynamics 2, 188-202. google scholar
• Sanso, B., Soumis, F., 1991. Communication and transportation network reliability using routing models. IEEE Transactions on Reliability 40, 29-38. google scholar
• Sharma, M.K., Chauhan, B.K., 2022. Analytical assessment of implementation aspect of regional rapid transit system. Decision Analytics Journal 4, 100093. google scholar
• Sheffi, Y., 1985. Urban transportation networks. google scholar
• Sohn, J., 2006. Evaluating the significance of highway network links under the flood damage: An accessibility approach. Transportation research part A: policy and practice 40, 491-506. google scholar
• Tian, Z., She, W., Li, S., Wang, Y.-W., Liu, W., Zai, G.-J., Jia, L.-M., Qin, Y., Dong, H.-H., 2019. Key links identification for urban road traffic network based on temporal-spatial distribution of traffic congestion. Modern Physics Letters B 33, 1950307. google scholar
• Vodak, R., Bfl, M., Svoboda, T., Kfivankova, Z., Kubecek, J., Rebok, T., Hlineny, P., 2019. A deterministte approach for rapid identification of the critical links in networks. PloS one 14. google scholar
• Vodak, R., Kfivankova, Z., Bfl, M., 2022. Identification of road links with the gravest network impacts when blocked concurrently. European Journal of Transport and Infrastructure Research 22, 63-92. google scholar
• Yu, R., Wang, X., Yang, K., Abdel-Aty, M., 2016. Crash risk analysis for Shanghai urban expressways: a Bayesian semi-parametric modeling approach. Accident Analysis & Prevention 95, 495-502. google scholar
• Zhang, L., Xiong, C., 2017. A novel agent-based modelling framework for travel time reliability analysis. Transportmetrica B: Transport Dynamics 5, 78-95. google scholar
• Zhou, Y., Wang, J., 2017. Critical link analysis for urban transportation systems. IEEE Transactions on Intelligent Transportation Systems 19, 402-415. google scholar