A Study on Setting Program for Intermittent Bus Lanes at Urban Road Intersections
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摘要: 公交优先政策造成了社会车辆的延误。在保证公交优先的前提下，提高社会车辆在信号交叉口的行驶效益，实现车道通行能力的最大化，研究了1种城市道路交叉口间歇式公交专用道（intermittent bus lane，IBL）运行模式，在公交车辆通行不受干扰时允许社会车辆驶入公交车道。通过设置预信号实时控制进口道的车辆类型，实现公交专用道的分时共享。考虑信号协同和换道规则，建立3车道元胞自动机模型，采用改进的速度效益模型模拟公交专用道运行状态，引入换道压力模型模拟清空区域强制换道规则。以车辆的平均速度、排队和延误时间等作为评价指标，验证交叉口间歇式公交专用道的设置效果。研究结果表明：①相较于传统公交专用道，交通量未达到车道通行能力的50%时，IBL模式下社会车辆平均延误时间和排队时间分别降低6.9%和4.9%，公交车辆平均速度提高3%，平均延误时间降低5%；②当交通量达到车道通行能力50%~80%时，社会车辆平均速度提高15%~37%，平均延误时间降低8%~20%，但是公交车辆平均速度降低3.4%，平均延误时间提高5.7%；③当交通量大于车道通行能力的80%时，社会车辆平均速度提高6.7%，平均延误时间降低5.8%，而公交车辆平均延误时间提高28.2%。最后，选取实际道路交叉口作为应用案例验证IBL的可行性。结果表明，在平峰时段、中等交通量条件下，IBL模式具有良好的适用性，可以显著降低排队时间。Abstract: The bus priority policy would cause the delay of social vehicles. In order to improve the travel efficiency of social vehicles at urban signalized intersections and maximize the lane capacity on the premise of ensuring bus priority. A type of intermittent bus lane (IBL) operation mode at urban road intersections is proposed, allowing social vehicles to enter the bus lane when bus traffic is not disturbed. The type of vehicle at the entrance of intersections is control by setting pre-signals to achieving time-sharing of the bus exclusive lanes. A model of cellular automaton with three-lane is established considering signal coordination and lane-changing rules. A modified speed benefit model is used to simulate the operation status of bus lanes. A lane-changing pressure model is used to simulate the mandatory lane-changing rules in the clearing area. The effectiveness of IBL at intersections is measured using the evaluation indicators including speed, queuing, and delay time of vehicles. The results indicate that: ① When the traffic volume is less than 50% of the lane capacity, the average delay and queueing time of social vehicles under the IBL mode decrease by 6.9% and 4.9% respectively, the average speed of buses increases by 3% and the average delay of buses decreases by 5% comparing to those under the mode of traditional bus exclusive lanes. ② When the traffic volume reaches 50% to 80% of the lane capacity, the average speed of social vehicles increases by 15% to 37% and the average delay decreases by 8% to 20%. However, the average speed of buses decreases by 3.4% and the average delay increases by 5.7%. ③ When the traffic volume exceeds 80% of the lane capacity, the average speed of social vehicles increases by 6.7% and the average delay time decreases by 5.8%. However, and the average delay time of buses increases by 28.2%. Anactual unban intersection is selected as an empirical case study to verify the feasibility of IBL, which shows that the use of IBL can significantly reduce queuing time during off-peak hours and under the moderate traffic volume context.
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表 1 误差检验
Table 1. Error check
实际数据 仿真数据 误差/% 交通量/（辆/h） 速度/（km/h） 交通量/（辆/h） 速度/（km/h） 412 56.3 412 58 3.02 726 53.8 726 56.1 4.28 880 50.2 880 52.9 5.38 1106 45 1106 43.4 3.56 1463 36.9 1463 37.2 0.81 1600 33.4 1600 32.1 3.89 1803 29.6 1803 28.7 3.04 2187 22.9 2187 21.2 7.42 2411 16.8 2411 18.5 10.12 2902 14.8 2902 13.6 8.11 平均百分比误差 4.96 
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表 2 案例道路属性
Table 2. Road properties of the case section
道路属性 参数 道路长度/km 1.5 车道配置 双向12车道，共8条直行车道，1条公交专用道 路幅宽度/m 52 小汽车设计速度/（km/h） 60 公交车设计速度/（km/h） 40 道路通行能力/（辆/h） 1200（单条车道）
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[1] 常玉林, 赵超, 张鹏, 等. 拥堵条件下考虑相邻路口的可变导向车道自适应控制[J]. 重庆理工大学学报(自然科学), 2020, 34(5): 17-24.CHANG Y L, ZHAO C, ZHANG P, et al. An adaptive control of variable lane considering adjacent intersections under congested condition[J]. Journal of Chongqing University of Technology (Natural Science), 2020, 34(5): 17-24. (in Chinese) [2] 强添纲, 刘涛, 裴玉龙, 等. 考虑绿灯延长的干线公交绿波优化控制模型[J]. 交通信息与安全, 2021, 39(2): 87-94. doi: 10.3963/j.jssn.1674-4861.2021.02.011QIANG T G, LIU T, PEI Y L. A green wave optimization control model of trunk buses considering green extension[J]. Journal of Transport Information and Safety, 2021, 39(2): 87-94. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2021.02.011 [3] LONG L T, CURRIE G, WALLACE M, et al. Does combining transit signal priority with dedicated bus lanes or queue jump lanes at multiple intersections create multiplier effects?[J] Transportation Research Record, 2017(1): 80-92. [4] VIEGAS J, LU B. Widening the scope for bus priority with intermittent bus lanes[J]. Transportation Planning and Technology, 2001, 24(2): 87-110. doi: 10.1080/0308106010871766210(1014) [5] 邬皓, 姜涛, 何红艳. 山地城市路侧公交优先道通行能力研究[J]. 现代交通技术, 2022, 19(3): 74-77.WU H, JIANG T, HE H Y. Research on traffic capacity of roadside public transport priority roads in mountainous cities[J]. Modern Transportation Technology, 2022, 19(3): 74-77. [6] 董友邦, 李锐, 曹怡, 等. 停靠站附近间歇式公交专用道适用条件探究[J]. 华东交通大学学报, 2020, 37(1): 132-142.DONG Y B, LI R, CAO Y, et al. Study on the applicable traffic conditions of intermittent bus lanesnear bus stops[J]. Journal of East China Jiaotong University, 2020, 37(1): 132-142. (in Chinese) [7] QIU F, LI W Q, ZHANG J, et al. Exploring suitable traffic conditions for intermittent bus lanes[J]. Journal of Advanced Transportation, 2015, 49(3): 309-325. doi: 10.1002/atr.1265 [8] 欧诗琪, 俞春辉, 马万经. 干线信号协调背景下的网联公交实时优先控制方法[J]. 同济大学学报(自然科学版), 2022, 50(3): 339-350.OU S Q, YU C H, MA W J. Connected bus real-time priority control considering arterial signal coordination[J]. Journal of Tongji University (Natural Science), 2022, 50(3): 339-350. (in Chinese) [9] WU D X, DENG W, SONG Y, et al. Evaluating operational effects of bus lane with intermittent priority under connected vehicle environments[J]. Discrete Dynamics in Nature and Society, 2017, 2017: 1659176 [10] WU W, HEAD L, YAN S H Y, et al. Development and evaluation of bus lanes with intermittent and dynamic priority in connected vehicle environment[J]. Journal of Intelligent Transportation Systems: Technology, Planning and Operations, 2018, 22(4): 301-310. doi: 10.1080/15472450.2017.1313704 [11] CHEN X, LIN X, HE F, et al. Modeling and control of automated vehicle access on dedicated bus rapid transit lanes[J]. Transportation Research Part C: Emerging Technologies, 2020, 120: 102795. doi: 10.1016/j.trc.2020.102795 [12] 庞明宝, 柴紫欣, 巩丹阳. 混合交通下智能网联车借道公交专用车道控制[J]. 交通运输系统工程与信息, 2021, 21(4): 118-124.PANG M B, CHAI Z X, GONG D Y. Control of connected and automated vehicles driving on dedicated bus lane under mixed traffic[J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(4): 118-124. (in Chinese) [13] MA C, XU X D. Providing spatial-temporal priority control strategy for BRT lanes: asimulation approach[J]. Journal of Transportation Engineering, 2020(7): 04020060. [14] 安实, 宋浪, 王健, 等. 借用公交专用道左转的主预信号控制方案优化[J]. 中国公路学报, 2020, 33(4): 115-125.AN S, SONG L, WANG J, et al. Main and pre-signal control scheme optimization of turning left by using bus lanes[J]. China Journal of Highway and Transport, 2020, 33(4): 115-125. (in Chinese) [15] 陈永恒, 李婉宁, 吴场建, 等. 基于动态车道的交叉口公交左转优先方法[J]. 东南大学学报(英文版), 2022, 38(2): 195-202. doi: 10.3969/j.issn.1003-7985.2022.02.012CHEN Y H, LI W N, WU C J, et al. Method of the left-turning bus priority at intersections based on a variable lane[J]. Journal of Southeast University (English Edition), 2022, 38 (2): 195-202. (in Chinese) doi: 10.3969/j.issn.1003-7985.2022.02.012 [16] 赵欣, 庞明宝. 基于动态清空距离的特殊车辆与CAVs混合车道控制[J]. 交通信息与安全, 2022, 40(3): 118-126. doi: 10.3963/j.jssn.1674-4861.2022.03.012ZHAO X, PANG M B. A control method of dedicated lanes for mixed use of special vehicles and CAVs based on dynamic clear distance[J]. Journal of Transport Information and Safety, 2022, 40(3): 118-126. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2022.03.012 [17] 宋现敏, 张明业, 李振建, 等. 动态公交专用道的设置及其仿真分析评价[J]. 吉林大学学报(工学版), 2020, 50(5): 1677-1686.SONG X M, ZHANG M Y, LI Z J, et al. Setting of dynamic bus lane and its simulation analysis and evaluation[J]. Journal of Jilin University (Engineering and Technology Edition), 2020, 50(5): 1677-1686. (in Chinese) [18] GIRAO P S, ALEGRIA F, VIEGAS J M, et al. Wireless system for traffic control and law enforcement[C]. 2006 IEEE International Conference on Industrial Technology, Mumbai, India: IEEE, 2006. [19] VIEGAS J M, ROQUE R, LU B C, et al. The Intermittent Bus Lane system: Lisbon demonstration project[J]. Public Transport International, 2007, 56(3): 40-43. [20] CURRIE G, LAI H. Intermittent and dynamic transit lanes: Melbourne, Australia, experience[J]. Transportation Research Record, 2008(1): 49-56. [21] ANAIS B. Demonstration and evaluation of an intermittent bus lane strategy[J]. Thermal Science and Engineering Progress, 2019(11): 443-456. [22] LI X B, WU Q S, et al. Cellular automaton model considering the velocity effect of a car on the successive car[J]. Physical Review E, 2001, 64(6): 66128. [23] 李津, 孙雨彤, 魏小忠, 等. 考虑柔性车道设置的公交优先信号设计[J]. 吉林大学学报(工学版), 2023, 53(2): 448-456.LI J, SUN Y T, WEI X Z, et al. Design of bus priority signal considering flexible lane setting[J]. Journal of Jilin University (Engineering and Technology Edition), 2023, 53(2): 448-456. (in Chinese) [24] 张立东. 城市交通溢流智能控制与仿真[M]. 北京: 中国水利水电出版社, 2020.ZHANG L D. Intelligent control and simulation of urban traffic overflow[M]. Beijing: China Water&Power Press, 2020. (in Chinese) [25] 贾斌, 高自友, 李克平, 等. 基于元胞自动机的交通系统建模与模拟[M]. 北京: 科学出版社, 2007.JIA B, GAO Z Y, LI K P, et al. Models and simulations of traffic system based on the theory of cellular automaton[M]. Beijing: Science Press, 2007. (in Chinese) [26] BHAM G H, BENEKOHAL R F. A high fidelity traffic simulation model based on cellular automata and car-following concepts[J]. Transportation Research Part C: Emerging Technologies, 2004, 12(1): 1-32. -
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