The Zebra Crossing Game - Using game theory to explain a discrepancy between road user behaviour and traffic rules

被引:34
|
作者
Bjornskau, Torkel [1 ]
机构
[1] Inst Transport Econ, Gaustadalleen 21, NO-0349 Oslo, Norway
关键词
Cyclists; Cars; Yielding; Crossing; Interaction; Game theory;
D O I
10.1016/j.ssci.2015.10.007
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In Norway, cyclists are allowed to cycle on pavements, and urban paths are often designated for use by both cyclists and pedestrians. Crossings between pavements/paths and the roadway are normally marked as zebra crossings. At these crossings, the law treats cyclists and pedestrians differently: whereas cyclists must give way to road traffic, the road traffic must give way to pedestrians. On encountering road traffic at these crossings, a cyclist has three options: give way (a); cycle over the zebra crossing (and risk a collision) (b); or (c) force the drivers to yield by dismounting and walking over the zebra crossing (c). The approaching driver has two choices: drive on as the law suggests (x) or give way to the cyclist (y). The solutions prescribed by the traffic rules are a/x or c/y. However, on applying game theory to this situation, it can be shown that neither of these solutions are in perfect equilibrium, and the game theoretic solution to the game is in fact b/y, i.e. that the cyclists cycle over the zebra crossing and the cars yield, contrary to what the traffic rule prescribes. Thus, according to game theoretic reasoning one would expect the normal solution in road traffic to be that drivers yield to cyclists in zebra crossings. In order to test this, we studied crossing behaviour at three zebra crossings, two crossings where cyclists approached from the pavement and one crossing where cyclists came from a combined cycle and walking path. We found that rather than aligning with traffic rules, the actual crossing behaviour aligned with the solution generated by game theory. The results show that game theoretic modelling can be a valuable tool to understand road user interaction. Better understanding and ability to predict road user interactions could help to improve traffic safety. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:298 / 301
页数:4
相关论文
共 50 条
  • [21] Analysis of core stakeholder behaviour in the tourism community using economic game theory
    Yang, Zhenzhi
    Shi, Hong
    Yang, Dan
    Cai, Yinchun
    Ren, Xuanyu
    [J]. TOURISM ECONOMICS, 2015, 21 (06) : 1169 - 1187
  • [22] Using Game Theory To Solve the Fault Diagnosis Problem Under Symmetric Comparison Rules
    Elhadef, Mourad
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY (CIT), 2017, : 237 - 244
  • [23] Power allocation for SWIPT in K-user interference channels using game theory
    Wen, Zhigang
    Liu, Ying
    Liu, Xiaoqing
    Li, Shan
    Chen, Xianya
    [J]. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2018,
  • [24] Power allocation for SWIPT in K-user interference channels using game theory
    Zhigang Wen
    Ying Liu
    Xiaoqing Liu
    Shan Li
    Xianya Chen
    [J]. EURASIP Journal on Advances in Signal Processing, 2018
  • [26] User Preference Aware Multimedia Pricing Model using Game Theory and Prospect Theory for Wireless Communications
    Ramamoorthy, Krishna Murthy Kattiyan
    [J]. 34TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE 2019), 2019, : 1265 - 1267
  • [27] Modeling outcomes of violent video game play: Applying mental models and model matching to explain the relationship between user differences, game characteristics, enjoyment, and aggressive intentions
    McGloin, Rory
    Farrar, Kirstie M.
    Krcmar, Marina
    Park, Suji
    Fishlock, Joshua
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2016, 62 : 442 - 451
  • [28] Power allocation between radar and jammer using conflict game theory
    He, Bin
    Yang, Ning
    [J]. ELECTRONICS LETTERS, 2024, 60 (16)
  • [29] An effective lane changing behaviour prediction model using optimized CNN and game theory
    Prakash, D.
    Sathiyasekar, K.
    [J]. AUTOMATIKA, 2024, 65 (03) : 982 - 996
  • [30] RELAY POWER ALLOCATION AND PRICING IN MULTI-USER RELAY NETWORKS USING GAME THEORY
    Cao, Qian
    Zhao, H. Vicky
    Jing, Yindi
    [J]. 2012 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2012, : 2893 - 2896