doi:

DOI: 10.3724/SP.J.1249.2018.02206

Journal of Shenzhen University Science and Engineering (深圳大学学报理工版) 2018/35:2 PP.206-212

Evaluation of traffic demand control by considering the saturation of bottleneck links


Abstract:
Considering the traffic paradox phenomenon, which is the decrease of origin-destination (OD) traffic volume may lead to flow increase on certain links of road network, we analyze the necessity of the saturation of bottleneck links that are used as an index to evaluate the traffic demand control. We propose an evaluation method by analyzing three indexes including road-network total cost, road-network mean saturation and the saturation of bottleneck links,comprehensively. We build a bi-level mathematical programming model and develop the solving algorithm. Taking the Nguyen-Dupuis network as an example, we design 15 schemes to conduct 11 pairs of numerical experiments and analyze the variations of three indexes with the changes of different intensities of traffic demand control in every scheme. The results indicate that the differences of the indexes of road-network total cost and mean saturation among the designed schemes are within 2.25%, which is not great. Oppositely, the differences of the saturation index of the bottleneck links among the designed schemes are great and the maximum difference reaches 7.65%. Moreover, some schemes may lead to more serious congestion in bottleneck links, which further proves the importance of considering the saturation of bottleneck links. Finally, the reason of the saturation variation of the bottleneck links is investigated by analyzing the change of the path flow.

Key words:transportation engineering and management,traffic demand control,the saturation of bottleneck link,traffic paradox,bi-level mathematical programming model,method of successive average

ReleaseDate:2018-03-20 15:26:58



[1] 王丰元,陈萌三,宋年秀.交通需求管理及其在中国的应用[J].交通运输工程学报, 2002, 2(2):83-87. WANG Fengyuan, CHEN Mengsan, SONG Nianxiu. Application of travel demand management in China[J]. Journal of Traffic and Transportation Engineering, 2002, 2(2):83-87.(in Chinese)

[2] 杨夫军.交通需求管理评价指标体系研究[D]. 南京:东南大学,2006. YANG Fujun. Study on the evaluated indices system of the traffic demand management[D]. Nanjing:Southeast University,2006.(in Chinese)

[3] 何建伟,曾珍香,李志恒.北京市交通需求管理政策效用分析[J].交通运输系统工程与信息,2009,9(6):114-119. HE Jianwei, ZENG Zhenxiang, LI Zhiheng. An analysis on effectiveness of transportation demand management in Beijing[J].Journal of Transportation Systems Enginee-ring and Information Technology, 2009, 9(6):114-119.(in Chinese)

[4] BRAESS D. Vber ein Paradoxon aus der Verkehrsplanung[J]. Mathematical Methods of Operations Research, 1968, 12(1):258-268.

[5] DAFERMOS S, NAGURNEY A. On some traffic equilibrium theory paradoxes[J]. Transportation Research Part B:Methodological, 1984, 18(2):101-110.

[6] 赵春雪,傅白白,王天明.拥挤交通网络的Braess'悖论现象[J].交通运输系统工程与信息,2012,12(4):155-160. ZHAO Chunxue, FU Baibai, WANG Tianming. Braess' paradox phenomenon of congested traffic networks[J].Jouornal of Transportation Systems Engineering and Information Technology, 2012, 12(4):155-160.(in Chinese)

[7] 程琳.城市交通网络流理论[M].南京:东南大学出版社,2010:29-31. CHENG Lin. Urban transportation network flow theory[M]. Nanjing:Southeast University Press, 2010:29-31.(in Chinese)

[8] MA Jie, LI Dawei, CHENG Lin, et al. Link restriction:methods of testing and avoiding braess paradox in networks considering traffic demands[J]. Journal of Transportation Engineering Part A:Systems, 2017, 144(2):04017076.

[9] 林杰.山地城市交通设施人性化规划设计研究[D]. 重庆:重庆交通大学,2015. LIN Jie. Study on planning and design of the facility humanization of mountain city traffic[D]. Chongqing:Chongqing Jiaotong University,2015.(in Chinese)

[10] NGUYEN S, DUPUIS C. An efficient method for computing traffic equilibria in networks with asymmetric transportation costs[J]. Transportation Science, 1984, 18(2):185-202.